
## Full Description
About Magna AI:Magna AI is a global integrated-value-chain AI transformation factory, architecting the future of the intelligent enterprise. Through a unified approach that spans strategy, engineering, integration, and operations, Magna AI delivers secure AI infrastructure, applications, and services designed to drive measurable, scalable, and organization-wide transformation. Powered by next-generation technology from Trend Micro, NVIDIA, and Wistron Digital Technology Holding Company, Magna AI enables enterprises to evolve into intelligent, adaptive, and future-ready organizations confidently. Magna AI enables enterprises to evolve into intelligent, adaptive, and future-ready organizations confidently.Building the enterprise AI economy.Job Summary:Own, build, and scale theAI Data Center, AI Factory, Infrastructure, and Cloud Practiceas afull-lifecycle, revenue-generating business unit. Accountable forend-to-end ownershipacross business case creation, design, build, deployment, and operations ofAI-optimized physical and cloud infrastructure, includingsovereign AI factories, enterprise AI data centers, and hybrid cloud platforms.This role governswhat we sell, how we design it, how we build it, how we operate it, and how we monetize it.Practice Scope (Explicit):AI Data Centers & AI Factories (Physical Layer)Full Lifecycle OwnershipBusiness Case & Feasibility:CAPEX/OPEX, ROI, IRR, payback • AI workload demand modeling (training vs inference, burst vs steady) • Power, land, water, cooling feasibility • Sovereignty, residency, regulatory assessments • Phased scale strategy (pilot → scale → hyperscale)Scoping, Survey & Site Analysis:Site selection & due diligence • Grid & power interconnection • Environmental, thermal, seismic analysis • Network proximity & latency • Rack density & power planningDesign & Engineering (MEP):High-density power (30–120kW+ per rack) • Liquid/immersion/hybrid cooling • Redundancy (N+1, 2N, distributed resilience) • Electrical systems (substations, UPS, generators) • CDU, chilled water, direct-to-chip • Fire, safety, physical security • Modular/containerized AI factoriesConstruction & Commissioning:EPC governance • Build sequencing • FAT / SAT • IST • AI-specific commissioning & burn-inOperations & Lifecycle:AI DC operating models • Capacity expansion • Predictive/preventive maintenance • Energy efficiency & PUE • SLA governance • AI hardware refresh cyclesB. Infrastructure Stack (Inside the AI Data Center)End-to-End OwnershipCompute:GPU/accelerator strategy • Multi-vendor architectures • Bare metal vs virtualized • Kubernetes, Slurm alignmentStorage:High-throughput AI storage • Object/block/file • Tiered training pipelines • Data locality optimizationNetworking:400G/800G fabrics • East-west optimization • RDMA / InfiniBand / Ethernet • Multi-site connectivityRacks & Physical:AI-dense layouts • Weight, airflow, cabling • Future-proofingPlatform Integration:AI orchestration • Scheduling & isolation • Monitoring, telemetry, observabilityC. Cloud Platforms (Hyperscale & Hybrid)AWS:AI/ML services • Hybrid connectivity • Cost optimization & reserved capacity • Security & complianceMicrosoft Azure:Enterprise AI workloads • Hybrid via on-prem AI factories • Identity, security, governanceGoogle Cloud Platform:Data & AI pipelines • Multi-cloud portabilityHybrid & Sovereign Cloud:On-prem AI factories • Sovereign architectures • Cross-cloud orchestrationPractice Management ResponsibilitiesPractice Architecture & Offerings:AI Factory advisory • Design & build • Infrastructure deployment • Hybrid cloud enablement • Managed operations • Reference architectures & repeatable assetsCommercial & P&L Ownership:Revenue, margin, utilization • Pricing for AI factories, infrastructure builds, cloud & managed services • Large-scale AI deal shapingDelivery Governance:Lifecycle governance • Quality, risk, compliance • Executive escalation for mission-critical programsTalent & Capability Building:AI DC design • Infrastructure engineering • Cloud architecture • Operations • Competency models & certificationsVendor & Partner Ecosystem:GPU vendors • OEMs • EPCs • Hyperscalers • Sovereign cloud partners • Technology validation & standardizationRequired Profile15+ years in data centers, infrastructure, and cloud with AI/HPC exposure • Leadership in AI or hyperscale environments • Design, build, and operate experience • Strong commercial ownership & executive presence • Deep understanding of AI workload physical implications



## Qualifications
* Bachelor's degree in Computer Science, Software Engineering, or a related field
* OR demonstrable equivalent deep understanding, experience, and capability
* 2+ years of experience in software engineering or cloud infrastructure, with a focus on supporting AI/ML workloads
* Demonstrable strong programming skills in a 3GL strongly-typed language like Java, Python, C/C++ or Golang
* Strong understanding of cloud platforms (AWS and Azure), including services relevant to AI/ML (e.g., EC2, S3, EKS, Azure ML, AKS)
* Hands-on experience with containerization (Docker) and container orchestration (Kubernetes)
* Experience with building and managing CI/CD pipelines for infrastructure and ML model deployment (using tools like Jenkins, GitLab CI/CD, etc.)
* Strong understanding of networking concepts (VPC, subnets, routing, firewalls) and experience configuring network infrastructure in the cloud
* Experience with infrastructure monitoring and alerting tools (e.g., Prometheus, Grafana, CloudWatch, Azure Monitor)
* Strong scripting skills (Python, Bash) for automation and configuration management
* Excellent problem-solving skills, with the ability to analyze complex systems and identify performance bottlenecks
* Strong communication and collaboration skills, with the ability to work effectively in a team environment
## Benefits
* The base pay range represents the anticipated low and high end of the pay range for this position
* Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role
* Base pay is one component of WEX's total compensation package
* Most sales positions are eligible for commission under the terms of an applicable plan
* Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan
* WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being
* Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more
* Pay Range: $96,100.00 - $115,500.00
## Responsibilities
* Collaborate with partners/stakeholders to understand the requirements of our AI development teams and key challenges
* Design, build, and maintain cloud infrastructure on AWS and Azure to support AI/ML workloads
* Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes)
* Develop and maintain CI/CD pipelines for automating the deployment and management of AI infrastructure
* Develop and maintain monitoring and alerting systems to ensure the health and performance of production AI infrastructure
* Analyze system performance data to identify bottlenecks and opportunities for improvement
* Mentor and learn from your peers, foster continuous learning of new cloud technologies and best practices
* Get good at our team’s processes and best practices and apply them to given tasks with help from peers and your manager
* Make sure to understand the underlying problems you try to solve with these tasks, and your implementations effectively address these problems in a reliable and sustainable way
* Partner with team members in development and problem-solving
* Independently complete work and proactively seek reviews from senior engineers on your work to ensure high quality
* Perform technical discussions
* Proactively review work from peers and learn

## Full Description
This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.

WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk. Our AI Infrastructure team is pivotal in enabling these advancements.

We are looking for a highly motivated and high-potential Engineer to join our AI Infrastructure team to make significant contributions to our cloud-based AI solutions and grow your career.

This is a really exciting time to be in the AI Infrastructure team at WEX. Our team is responsible for building and maintaining the robust, scalable, and secure cloud infrastructure that powers our AI and machine learning initiatives. We work with cutting-edge technologies like AWS, Azure, Docker, and Kubernetes to create a dynamic environment that supports the development and deployment of AI models at scale.

We have challenging problems with huge business impact potential for you to work on and grow. We also have a strong team with highly talented and skillful engineers and leaders to support, guide, and coach you.

If you dream to be a strong engineer who can solve tough problems, generate big impacts, and grow fast, this is a great opportunity for you!

How you’ll make an impact

• Collaborate with partners/stakeholders to understand the requirements of our AI development teams and key challenges.

• Design, build, and maintain cloud infrastructure on AWS and Azure to support AI/ML workloads.

• Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes).

• Develop and maintain CI/CD pipelines for automating the deployment and management of AI infrastructure.

• Develop and maintain monitoring and alerting systems to ensure the health and performance of production AI infrastructure.

• Analyze system performance data to identify bottlenecks and opportunities for improvement.

• Mentor and learn from your peers, foster continuous learning of new cloud technologies and best practices.

• Get good at our team’s processes and best practices and apply them to given tasks with help from peers and your manager. Make sure to understand the underlying problems you try to solve with these tasks, and your implementations effectively address these problems in a reliable and sustainable way.

• Partner with team members in development and problem-solving.

• Independently complete work and proactively seek reviews from senior engineers on your work to ensure high quality.

• Perform technical discussions. Proactively review work from peers and learn.

Experience you’ll bring

• Bachelor's degree in Computer Science, Software Engineering, or a related field. OR demonstrable equivalent deep understanding, experience, and capability.

• A Master's or PhD degree in Computer Science (or related field) is a plus.

• 2+ years of experience in software engineering or cloud infrastructure, with a focus on supporting AI/ML workloads.

• Demonstrable strong programming skills in a 3GL strongly-typed language like Java, Python, C/C++ or Golang.

• Strong understanding of cloud platforms (AWS and Azure), including services relevant to AI/ML (e.g., EC2, S3, EKS, Azure ML, AKS).

• Hands-on experience with containerization (Docker) and container orchestration (Kubernetes).

• Experience with building and managing CI/CD pipelines for infrastructure and ML model deployment (using tools like Jenkins, GitLab CI/CD, etc.).

• Strong understanding of networking concepts (VPC, subnets, routing, firewalls) and experience configuring network infrastructure in the cloud.

• Experience with infrastructure monitoring and alerting tools (e.g., Prometheus, Grafana, CloudWatch, Azure Monitor).

• Strong scripting skills (Python, Bash) for automation and configuration management.

• Excellent problem-solving skills, with the ability to analyze complex systems and identify performance bottlenecks.

• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications:

• Experience with CI/CD tools and processes.

• Familiarity with infrastructure monitoring and alerting tools.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.

Pay Range: $96,100.00 - $115,500.00



## Qualifications
* You love the process of analyzing and creating, but also share our passion to do the right thing
* You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them
* You thrive on bringing definition to big, undefined problems
* You love asking questions and pushing hard to find answers
* You’re passionate about talent development for your own team and beyond
* Technical
* You’re comfortable with open-source languages and are passionate about developing further
* You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms
* Has a deep understanding of the foundations of AI methodologies
* Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF
* An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes
* Experience in delivering libraries, platform level code or solution level code to existing products
* A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
* Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
* Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
## Benefits
* Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked
* This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
* Incentives could be discretionary or non discretionary depending on the plan
* Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
## Responsibilities
* Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money
* Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
* Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
* Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences
* Flex your interpersonal skills to translate the complexity of your work into tangible business goals
* You continually research and evaluate emerging technologies
* You challenge conventional thinking and work with stakeholders to identify and improve the status quo

## Full Description
Applied Researcher I (AI Foundations)

Overview:

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications ofAI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.

• Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.

• Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.

• Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.

• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

The Ideal Candidate:

• You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.

• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.

• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.

• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.

• Has a deep understanding of the foundations of AI methodologies.

• Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.

• An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.

• Experience in delivering libraries, platform level code or solution level code to existing products.

• A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.

• Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.

Basic Qualifications:

• Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research

Preferred Qualifications:

• PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields

• LLM

• PhD focus on NLP or Masters with 5 years of industrial NLP research experience

• Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)

• Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)

• Publications in deep learning theory

• Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR

• Optimization (Training & Inference)

• PhD focused on topics related to optimizing training of very large deep learning models

• Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression

• Experience optimizing training for a 10B+ model

• Deep knowledge of deep learning algorithmic and/or optimizer design

• Experience with compiler design

• Finetuning

• PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning)

• Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance

• Experience deploying a fine-tuned large language model

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $218,700 - $249,600 for Applied Researcher I

McLean, VA: $218,700 - $249,600 for Applied Researcher I

New York, NY: $238,600 - $272,300 for Applied Researcher I

San Francisco, CA: $238,600 - $272,300 for Applied Researcher I

San Jose, CA: $238,600 - $272,300 for Applied Researcher I

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).




## Full Description
We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer.

The successful candidate will not only manage daily operational workflows and risk monitoringbut will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time P&L visualization tools.

Key Responsibilities:

• 1. Trading Operations and P&L Analysis with AI

• Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations

• Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports.

• Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers.

• 2. Risk Monitoring & Control

• Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks.

• Develop and maintain sophisticated risk reporting dashboards for the desk.

Requirements & Qualifications

• Experience: 5+ years in front-office operations, quant development, or a blend of risk management and systems architecture within a financial institution.

• Technical Stack: Expert proficiency in Python (for AI/ML), and strong SQL skills. Experience building agentic AI workflows is a significant advantage.

• Financial Acumen: Deep understanding of P&L attribution, financial controls, market risk indicators (Greeks, VaR), financial markets and products.

• Problem Solving: A "systems-thinking" approach to operations—treating every manual task as a bug that needs an automated solution.

• Capacity: Ability to thrive in a high-intensity environment requiring extended hours (eg. 60-70/week) to meet global trading demands.

• Agility: Willingness to participate in a rotational weekend and 24/7 on-call schedule, providing immediate resolution to live production issues

We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.



## Qualifications
* 17+ years industry and/or academia experience with AI systems development; strong exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks
* Strong C/C++ and Python programming skills; solid software engineering fundamentals; ability to set engineering standards and review architecture at scale
* Experience with GPU programming and performance optimization (CUDA or equivalent)
* Proven track record leading large, cross-team efforts from concept through production, including navigating ambiguity, aligning stakeholders, and delivering measurable outcomes
* Track record building/evaluating deep learning models, coding agents and developer tooling, and driving broad adoption across teams or customers
* Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms
* Deep expertise in GPU performance optimizations, evidenced by benchmark wins or published results
* Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards
* Experience leading projects end-to-end, mentoring small teams; ability to drive concepts to production
* Recognized technical leadership (e.g., setting platform direction, creating widely used architectures/APIs, or establishing evaluation/benchmarking standards)
## Benefits
* Your base salary will be determined based on your location, experience, and the pay of employees in similar positions
* The base salary range is 320,000 USD - 488,750 USD
* You will also be eligible for equity and benefits
## Responsibilities
* As a leader on the team, you will define technical direction and drive execution across the stack, including building advanced multi-agent systems, scalable training (including multi-agent RL) and inference, hardware/software co-design, and production-grade engineering solutions that improve agent planning, reasoning, tool-use, code generation, and end-to-end engineering workflows
* You will collaborate closely with internal NVIDIA software and hardware teams to translate the latest advances into production capabilities and NVIDIA products
* Set strategy and lead execution for agentic AI systems for the CUDA ecosystem, defining roadmaps and measurable success metrics (performance, quality, reliability, developer productivity).
* Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available
* Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity
* Collaborate across the AI stack and help drive architecture and key technical decisions —from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model and research/engineering teams
* Scale impact through leadership: mentor and grow senior technical talent

## Full Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for an outstanding Distinguished Engineer – High Performance AI to build groundbreaking agentic AI systems for the CUDA ecosystem. We build full-stack agentic AI platforms—spanning multi-agent runtimes and orchestration, data and evaluation pipelines, training and inference stacks, and GPU-accelerated execution—deeply integrated with NVIDIA’s software and hardware stack to advance accelerated computing end-to-end. As a leader on the team, you will define technical direction and drive execution across the stack, including building advanced multi-agent systems, scalable training (including multi-agent RL) and inference, hardware/software co-design, and production-grade engineering solutions that improve agent planning, reasoning, tool-use, code generation, and end-to-end engineering workflows. You will collaborate closely with internal NVIDIA software and hardware teams to translate the latest advances into production capabilities and NVIDIA products.

What you'll be doing:

• Set strategy and lead execution for agentic AI systems for the CUDA ecosystem, defining roadmaps and measurable success metrics (performance, quality, reliability, developer productivity)..

• Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.

• Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity.

• Collaborate across the AI stack and help drive architecture and key technical decisions —from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model and research/engineering teams.

• Scale impact through leadership: mentor and grow senior technical talent.

What we need to see:

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.

• 17+ years industry and/or academia experience with AI systems development; strong exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.

• Strong C/C++ and Python programming skills; solid software engineering fundamentals; ability to set engineering standards and review architecture at scale.

• Experience with GPU programming and performance optimization (CUDA or equivalent).

• Proven track record leading large, cross-team efforts from concept through production, including navigating ambiguity, aligning stakeholders, and delivering measurable outcomes.

Ways To Stand Out From The Crowd:

• Track record building/evaluating deep learning models, coding agents and developer tooling, and driving broad adoption across teams or customers.

• Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms. Deep expertise in GPU performance optimizations, evidenced by benchmark wins or published results.

• Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards.

• Experience leading projects end-to-end, mentoring small teams; ability to drive concepts to production.

• Recognized technical leadership (e.g., setting platform direction, creating widely used architectures/APIs, or establishing evaluation/benchmarking standards).

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.




## Full Description
This a Full Remote job, the offer is available from: Anywhere

About LILT

AI is changing how the world communicates — and LILT is leading that transformation.

We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.

At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.

Are you passionate about AI and skilled at analyzing both text and multimedia content?

We’re looking for detail-oriented linguists with native speaker fluency in Lithuanian to support in AI-training related projects, including tasks such as prompt evaluation, video content understanding, text review & correction, and more.

This is a remote, freelance opportunity.

Who we're looking for

🔹 Native speaker fluency only

🔹 Strong command of English

🔹 Experience as a reviewer, annotator, or evaluator preferred

🔹 High attention to detail and ability to thoroughly and accurately categorize content

🔹 Comfortable working with both textual and audio/video materials

🔹 Ability to follow detailed guidelines consistently and provide clear feedback

What we offer

✅ Free access to our leading-edge NMT technology, with full training and support

✅ Rapid payments via Tipalti — no invoicing needed

✅ Opportunity to contribute to cutting-edge developments in AI and content understanding

If you’re interested, please submit an updated version of your resume in English.

Our Story

Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.

LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.

With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.

Our Tech

What sets our platform apart:

• Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent

• Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing

• 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation

• Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review

LILT in the News

• Featured in The Software Report’s Top 100 Software Companies!

• LILT makes it onto the Inc. 5000 List.

• LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.

• Check out all our news on our website.

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

This offer from "Lilt" has been enriched by Jobgether.com and got a 82% flex score.




## Full Description
Job Title : AI Automation Specialist

Position Type : Full-Time, Remote

Working Hours : U.S. business hours

About the Role :

We are seeking a highly analytical and process-driven AI Automation Specialist to design, build, and maintain intelligent automation solutions that streamline business operations and significantly reduce manual effort. This role focuses on leveraging AI models, automationplatforms, and system integrations to improve efficiency across multiple business functions.

The ideal candidate is technically curious, highly organized, and skilled at translating business requirements into scalable, AI-powered workflows that deliver measurable operational impact.

Responsibilities :

Process Analysis & Automation Design :

• Analyze existing business processes and identify opportunities for AI-driven automation.

• Design intelligent workflows that reduce manual tasks and improve operational efficiency.

• Translate business needs into scalable automation solutions.

AI & Workflow Automation Development :

• Build, deploy, and maintain automation workflows using tools such as Zapier, Make, n8n, or Power Automate.

• Integrate AI models (e.g., ChatGPT, Claude, Gemini) into operational workflows.

• Automate processes across data entry, reporting, customer support, HR, marketing, and operations.

System Integrations & Technical Execution :

• Connect systems using APIs, webhooks, and third-party integrations.

• Ensure seamless data flow between tools and platforms.

• Troubleshoot automation errors and resolve workflow failures efficiently.

Optimization & Performance Monitoring :

• Monitor automation performance to ensure reliability and accuracy.

• Optimize workflows for speed, scalability, and long-term maintainability.

• Continuously improve automation logic based on performance data and business feedback.

Documentation & Collaboration :

• Maintain clear and detailed documentation for all automation workflows and logic.

• Collaborate closely with stakeholders to gather requirements and propose effective automation solutions.

• Provide visibility and clarity across teams on automated processes and outcomes.

What Makes You a Perfect Fit :

• A process-oriented problem solver with a passion for automation and efficiency.

• Comfortable working with both technical systems and non-technical stakeholders.

• Curious, adaptable, and motivated to stay current with evolving AI and automation tools.

• Highly organized with strong documentation and execution discipline.

• Able to work independently in a remote, fast-paced environment.

Required Experience & Skills :

• Proven experience in automation, workflow design, or process optimization.

• Hands-on experience with no-code / low-code automation tools (Zapier, Make, n8n, Power Automate).

• Experience working with AI tools and APIs (OpenAI, Anthropic, Google AI, or similar).

• Basic understanding of APIs, webhooks, and data structures.

• Strong analytical and problem-solving skills.

• Excellent communication and documentation skills.

• Reliable high-speed internet with audio and video capabilities.

• Fast, reliable computer suitable for professional business use.

Tools Provided :

• Google Workspace

• Automation Platforms (Zapier, Make, n8n, or equivalent)

• AI Tools & APIs

• Project Management Tools (e.g., Asana, ClickUp)

• Slack

Ideal Experience & Skills :

• Experience with Python or JavaScript.

• Familiarity with databases and tools such as Google Sheets, Airtable, or Notion.

• Experience working with CRM or project management tools (HubSpot, Salesforce, ClickUp, Monday.com).

• Knowledge of prompt engineering and AI workflow optimization.

• Experience with RPA tools (UiPath, Automation Anywhere).

What Does a Typical Day Look Like?

An AI Automation Specialist’s day is focused on improving efficiency through intelligent workflows. You will :

• Review existing processes and identify new automation opportunities.

• Build and test AI-powered automation workflows.

• Integrate systems and troubleshoot automation issues.

• Monitor workflow performance and optimize logic.

• Document automation processes and updates.

• Collaborate with stakeholders to align solutions with business needs.

In essence : you are responsible for replacing manual work with reliable, scalable, AI-driven automation.

Key Metrics for Success (KPIs)

• Number of manual processes successfully automated.

• Reliability and uptime of automation workflows.

• Reduction in time spent on manual operational tasks.

• Accuracy and scalability of automation solutions.

• Quality and clarity of automation documentation.

Interview Process :

• Initial Phone Screen

• Video Interview with Pavago Recruiter

• Practical Assessment (e.g., automation or workflow scenario)

• Client Interview

• Offer & Onboarding



## Benefits
* The US base salary range for this fulltime position is $272,000-$383,000 + bonus + equity + benefits
* Our salary ranges are determined by role, level, and location
* Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant educationBm training
* Your recruiter can share more about the specific salary range for your preferred location during the hiring process
* Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits
## Responsibilities
* As the Director of Product for our GDC, you will define the long-term vision, strategy, and roadmap for the GDC IaaS (compute, storage, and networking) portfolio and hardware portfolio, aligning it with overall GDC goals, market trends, customer needs, and GTM strategy
* Collaborate closely with engineering and sales teams to define product requirements, prioritize features, and oversee the product development lifecycle from concept to landing
* Provide leadership, guidance, and mentorship to a team of product managers, overseeing their performance and development
* Identify and address technical risks, infrastructure bottlenecks, and scaling challenges
* Work effectively with various teams, including engineering, design, marketing, sales, support, and other stakeholders, to ensure successful product execution

## Full Description
Director, Product Management, AI-led Infrastructure and Hardware

Apply

X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred workinglocation from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY kezels, USA; Seattle, WA, USA; San Francisco, CA, USA .

• Bachelor's degree in Mathematics, Computer Science, or equivalent practical experience.

• 15 years of product management experience in enterprise hardware systems (compute, networking, storage).

• Experience with data center infrastructure and cloud computing.

• Experience as a builder of infrastructure products.

Preferred qualifications:

• 8 years of experience as a leader of leaders.

• Experience partnering with hardware OEM vendors (e.g., Dell, NVidia).

• Understanding of genAI technology stack.

• Strong understanding of infrastructure technologies and trends, including public and private cloud, GPU, virtualization, containerization.

• Ability to collect/analyze market and customer data, and interpret and present complex information to drive strategic decision making to drive product strategy and decisions.

• Excellent organization, prioritization, and written/verbal communication skills.

About the job

Google Distributed Cloud (GDC) is a cloud-centric platform that enables enterprises to run modern apps anywhere consistently at scale. We offer a wide spectrum of solutions from managed software on your own hardware, fully managed hardware and AI-led software services, to completely air-gapped sovereign offerings.

As the Director of Product for our GDC, you will define the long-term vision, strategy, and roadmap for the GDC IaaS (compute, storage, and networking) portfolio and hardware portfolio, aligning it with overall GDC goals, market trends, customer needs, and GTM strategy.

Over time, we believe this team will define new products and services as part of the GDC portfolio that enable us to build large businesses by helping governments use AI for citizen services, manufacturers save time and money by using video for visual inspections on factory floors, and retailers to remove in-store hardware and create dynamic, modern applications.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cuttingedge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this fulltime position is $272,000-$383,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant educationBm training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Collaborate closely with engineering and sales teams to define product requirements, prioritize features, and oversee the product development lifecycle from concept to landing.

• Provide leadership, guidance, and mentorship to a team of product managers, overseeing their performance and development.

• Identify and address technical risks, infrastructure bottlenecks, and scaling challenges.

• Work effectively with various teams, including engineering, design, marketing, sales, support, and other stakeholders, to ensure successful product execution.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parentstobe, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsiblePOSIT for any fees related to unsolicited resumes.

#J-18808-Ljbffr




## Full Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning & Coding Expert (SME) in Egypt.

In this role, you will provide specialized expertise in software engineering and machine learning to ensure high-quality delivery of domain-specific AI training data projects. You will define technical standards, review outputs, and advise on best practices, contributing directly to the creation of accurate, production-ready datasets and models. The position involves hands-on code review, structured QA, and mentoring technical contractors, ensuring compliance with client specifications. You will collaborate closely with project teams, guiding tooling, frameworks, and workflows to optimize efficiency and quality. This role offers exposure to a wide range of AI and ML domains, including NLP, computer vision, deep learning, and MLOps. It is ideal for a detail-oriented, senior technical professional with a passion for precision and impactful AI work.

Accountabilities:

• Define project-specific technical standards, QA rubrics, and reference materials for machine learning and coding projects.

• Review project outputs, including code annotations and model configurations, flagging defects and providing actionable remediation guidance.

• Conduct structured quality assurance passes on deliverables, ensuring accuracy, consistency, and compliance with client specifications.

• Advise on technical tools, frameworks, workflows, and edge-case solutions to optimize project outcomes.

• Participate in contractor vetting, assessing technical skills, and providing targeted feedback for performance improvement.

• Support project scoping, technical requirements, and changes throughout the project lifecycle.

• Curate “gold standard” libraries of code, scripts, and dataset annotations for training and calibration purposes.

• Build dashboards and track defect trends to identify improvement areas and enhance future project efficiency.

• Contribute to post-project reviews to capture lessons learned and refine technical standards.

Requirements:

• Five or more years of professional experience in software engineering, machine learning, or data science.

• Deep proficiency in at least one programming language (Python, C++, or Java) and hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Proven ability to set, enforce, and maintain high technical standards in code quality and ML workflows.

• Experience producing technical documentation, quality rubrics, and training resources.

• Strong analytical and problem-solving skills with attention to detail and consistency.

• Excellent communication skills, capable of delivering clear technical guidance to both technical and non-technical stakeholders.

• Ability to work independently within defined project timelines and scope.

• Fluency in English, both written and spoken.

Benefits:

• Contract-based, fully remote role with flexible working hours.

• Competitive hourly rate based on experience, expertise, and geographic location.

• Exposure to cutting-edge AI and machine learning projects across multiple domains.

• Opportunity to work with highly skilled technical teams and impact high-stakes AI deliverables.

• Experience in shaping standards and processes for AI model development and training data quality.

• Professional growth and recognition as a subject-matter expert within complex AI initiatives.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1



## Qualifications
* 8+ years of product management experience, preferably in enterprise identity, security, or cloud infrastructure
* Demonstrated experience owning and delivering identity, authentication, and authorization products or platforms
* Strong technical understanding of enterprise IAM concepts, including least-privileged access, SSO, MFA, and authn/authz systems
* Hands-on experience with identity standards and protocols, such as OIDC/OAuth, SAML, and PKI
* Solid understanding of cloud infrastructure and enterprise platforms
* Familiarity with DevOps and Infrastructure-as-Code tools, such as Kubernetes and Terraform
* Proven track record of managing products from concept through launch and iteration
* Experience defining and tracking product performance metrics and using data to inform product decisions
* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
* You believe that security done right is an enabler of great customer experiences, not a hurdle
* You love to act as the voice of the customer, turning real-world enterprise needs into secure, scalable products
* You’re curious about identity and security trends and how they intersect with AI platforms and agentic infrastructure
* You’re an expert in enterprise identity, authentication, and authorization, and enjoy building systems that enable secure access to critical data and infrastructure
* This position requires access to export controlled information
* To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C
* 1157, or (iv) asylee under 8 U.S.C
* 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency
* CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process
## Benefits
* The base salary range for this role is $188,000 to $275,000
* The starting salary will be determined based on job-related knowledge, skills, experience, and market location
* We strive for both market alignment and internal equity when determining compensation
* In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility)
* The range we’ve posted represents the typical compensation range for this role
* To determine actual compensation, we review the market rate for each candidate which can include a variety of factors
* In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
* Medical, dental, and vision insurance - 100% paid for by CoreWeave
* Company-paid Life Insurance
* Voluntary supplemental life insurance
* Short and long-term disability insurance
* Flexible Spending Account
* Health Savings Account
* Tuition Reimbursement
* Ability to Participate in Employee Stock Purchase Program (ESPP)
* Mental Wellness Benefits through Spring Health
* Family-Forming support provided by Carrot
* Paid Parental Leave
* Flexible, full-service childcare support with Kinside
* 401(k) with a generous employer match
* Flexible PTO
* Catered lunch each day in our office and data center locations
* A casual work environment
* A work culture focused on innovative disruption
## Responsibilities
* You’ll lead the evolution of CoreWeave IAM, the platform that manages identity, authentication, and authorization across CoreWeave’s products and services
* As a Staff Product Manager for Identity and Access Management, you will own and evolve CoreWeave IAM, the platform responsible for identity, authentication, and authorization across CoreWeave’s products and services
* In this role, you’ll define the IAM product strategy and roadmap while working closely with engineering, security, product, field, and marketing teams to deliver scalable, secure identity capabilities
* You’ll partner with enterprise customers and internal stakeholders to ensure CoreWeave IAM meets the security, reliability, and performance needs of critical AI workloads
* Export Control Compliance

## Full Description
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do

You’ll lead the evolution of CoreWeave IAM, the platform that manages identity, authentication, and authorization across CoreWeave’s products and services. This team builds foundational security capabilities that enable the world’s leading AI labs and enterprises to securely access critical data and infrastructure. Your work will directly support scalable, secure AI workloads by ensuring identity and access controls are robust, flexible, and enterprise-ready. You will drive a novel, modern approach to IAM that delights customers, even those with the most stringent security requirements.

About The Role

As a Staff Product Manager for Identity and Access Management, you will own and evolve CoreWeave IAM, the platform responsible for identity, authentication, and authorization across CoreWeave’s products and services. In this role, you’ll define the IAM product strategy and roadmap while working closely with engineering, security, product, field, and marketing teams to deliver scalable, secure identity capabilities. You’ll partner with enterprise customers and internal stakeholders to ensure CoreWeave IAM meets the security, reliability, and performance needs of critical AI workloads. This role is highly cross-functional and sits at the intersection of enterprise security, cloud infrastructure, and AI platforms.

Who You Are

• 8+ years of product management experience, preferably in enterprise identity, security, or cloud infrastructure

• Demonstrated experience owning and delivering identity, authentication, and authorization products or platforms

• Strong technical understanding of enterprise IAM concepts, including least-privileged access, SSO, MFA, and authn/authz systems

• Hands-on experience with identity standards and protocols, such as OIDC/OAuth, SAML, and PKI

• Solid understanding of cloud infrastructure and enterprise platforms

• Familiarity with DevOps and Infrastructure-as-Code tools, such as Kubernetes and Terraform

• Proven track record of managing products from concept through launch and iteration

• Experience defining and tracking product performance metrics and using data to inform product decisions

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field

Preferred

• Experience building IAM platforms that support large-scale, multi-tenant enterprise customers

• Background working with security teams or compliance-driven environments

• Experience supporting AI, HPC, or mission-critical infrastructure workloads

Wondering if You’re a Good Fit?

We believe in investing in our people and value candidates who bring diverse experiences, even if you aren’t a 100% match. If some of this describes you, we’d love to talk.

• You believe that security done right is an enabler of great customer experiences, not a hurdle

• You love to act as the voice of the customer, turning real-world enterprise needs into secure, scalable products

• You’re curious about identity and security trends and how they intersect with AI platforms and agentic infrastructure

• You’re an expert in enterprise identity, authentication, and authorization, and enjoy building systems that enable secure access to critical data and infrastructure

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C.

• 1157, or (iv) asylee under 8 U.S.C.

• 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.



TLM, Machine Learning, Integrity

Zero to AI Engineer