## Qualifications
* In this role, you will own a meaningful project directly tied to our power architecture critical path, while receiving direct mentorship from senior power and electrical engineers
* B.S. in Electrical Engineering or equivalent
* Strong technical fundamentals in circuits, electronics, and power systems
* Hands-on experience (coursework, labs, clubs, or internships) with power electronics such as converters, motor drivers, batteries, or high-power systems
* Familiarity with electrical design tools (Altium, KiCad, etc.)
* Experience using lab equipment such as oscilloscopes, power supplies, e-loads, and multimeters
* Participation in an engineering team/club or hands-on project experience
## Benefits
* Full-time regular employee offer package:
* Pay within range listed + Bonus + Benefits + Equity
* Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
* Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location
* Military fellows and part-time employees are not eligible for benefits
## Responsibilities
* Own a power electronics design that directly impacts X-BAT system performance and major flight test milestones, supported by a senior engineer who provides technical guidance and review
* Contribute to the full hardware lifecycle including concept development, modeling, worst-case analysis, schematic capture, simulation, prototyping, bring-up, verification, integration, and flight test support
* Design and analyze low-voltage and high-voltage power systems including DC-DC converters, inverters, motor controllers, battery systems, power distribution, and protection circuits
* Design systems across power ranges from <1 kW low-power loads to >10 kW high-power applications while balancing efficiency, thermal constraints, EMI/EMC performance, and reliability
* Partner with ECAD engineers on PCB layout for power density, thermal performance, EMI mitigation, and manufacturability
* Execute hands-on board bring-up, debug, root-cause analysis, and validation using oscilloscopes, power supplies, electronic loads, and other test equipment
* Support environmental, stress, and qualification testing (HALT, vibration, temperature cycling) for aerospace-grade reliability
* Collaborate closely with Mechanical, Embedded, Software, Production, and Aircraft teams to ensure robust system integration and clear interface ownership
* Drive disciplined engineering practices including documentation, risk reduction, and closing the loop between analysis and test results

## Full Description
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supportsoperations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Job Description:

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Our aircraft — including V-BAT and X-BAT — are redefining autonomous aviation with cutting-edge AI, advanced navigation, and next-generation vehicle architectures. We are building the best team in aviation to drive rapid development and deployment of X-BAT.

We are looking for an entry-level Power Electronics Engineer who is excited to help bring X-BAT’s next-generation power systems to first flight. In this role, you will own a meaningful project directly tied to our power architecture critical path, while receiving direct mentorship from senior power and electrical engineers. We value first-principles thinking, hands-on engineering, and extreme ownership.

What you'll do:

• Own a power electronics design that directly impacts X-BAT system performance and major flight test milestones, supported by a senior engineer who provides technical guidance and review.

• Contribute to the full hardware lifecycle including concept development, modeling, worst-case analysis, schematic capture, simulation, prototyping, bring-up, verification, integration, and flight test support.

• Design and analyze low-voltage and high-voltage power systems including DC-DC converters, inverters, motor controllers, battery systems, power distribution, and protection circuits.

• Design systems across power ranges from <1 kW low-power loads to >10 kW high-power applications while balancing efficiency, thermal constraints, EMI/EMC performance, and reliability.

• Partner with ECAD engineers on PCB layout for power density, thermal performance, EMI mitigation, and manufacturability.

• Execute hands-on board bring-up, debug, root-cause analysis, and validation using oscilloscopes, power supplies, electronic loads, and other test equipment.

• Support environmental, stress, and qualification testing (HALT, vibration, temperature cycling) for aerospace-grade reliability.

• Collaborate closely with Mechanical, Embedded, Software, Production, and Aircraft teams to ensure robust system integration and clear interface ownership.

• Drive disciplined engineering practices including documentation, risk reduction, and closing the loop between analysis and test results.

Required qualifications:

• B.S. in Electrical Engineering or equivalent.

• Strong technical fundamentals in circuits, electronics, and power systems.

• Hands-on experience (coursework, labs, clubs, or internships) with power electronics such as converters, motor drivers, batteries, or high-power systems.

• Familiarity with electrical design tools (Altium, KiCad, etc.).

• Experience using lab equipment such as oscilloscopes, power supplies, e-loads, and multimeters.

• Participation in an engineering team/club or hands-on project experience.

#LI-JM2

#LA

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

###

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.



## Qualifications
* 3+ years of professional software engineering experience in Python
* (Constraint programming experience is a bonus, but not required)
* Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly
* Extreme attention to detail and excellent written communication skills
* Much of this role involves explaining why one approach is better than another
* No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience
* No deep machine learning knowledge
* We are looking for engineers with a strong command of Python
* Hours: Minimum 15 hrs/week, up to 40 hrs/week available
## Benefits
* Location: Fully remote — work from anywhere
* Compensation: From $30/hr to $70/hr, depending on location and seniority
* Engagement: 1099 contract
## Responsibilities
* Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages:
* Compare & rank multiple code snippets, explaining which is best and why
* Repair & refactor AI-generated code for correctness, efficiency, and style
* Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly
* End result: the model learns to propose, critique, and improve code the way you do
* RLHF in one line
* Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship
* You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment

## Full Description
Software Engineer, AI — Code Evaluation & Training (Remote)

List of accepted countries and locations

Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages:

• Compare & rank multiple code snippets, explaining which is best and why.

• Repair & refactor AI-generated code for correctness, efficiency, and style.

• Inject feedback (ratings,edits, test results) into the RLHF pipeline and keep it running smoothly.

End result: the model learns to propose, critique, and improve code the way you do.

RLHF in one line

Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship.

What You’ll Need

• 3+ years of professional software engineering experience in Python

(Constraint programming experience is a bonus, but not required)

• Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly.

• Extreme attention to detail and excellent written communication skills.

Much of this role involves explaining why one approach is better than another. This cannot be overstated.

• You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment.

What You Don’t Need

• No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience.

• No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest.

Tech Stack

We are looking for engineers with a strong command of Python.

Logistics

• Location: Fully remote — work from anywhere

• Compensation: From $30/hr to $70/hr, depending on location and seniority

• Hours: Minimum 15 hrs/week, up to 40 hrs/week available

• Engagement: 1099 contract

Straightforward impact, zero fluff. If this sounds like a fit, apply here!



## Qualifications
* A Mid-Level to Upper Mid-Level Full-Stack Engineer (NOT junior, NOT senior, NOT a manager)
* 5–8 years of hands-on IC engineering experience
* focused only on APIs or infrastructure
* Hands-on experience with user-facing products, experimentation, UI + backend
* Preferably 2–5+ years at a VC-backed SaaS or product company
* People Who Have Worked in the USA Long Enough
* “only 1 year of USA experience”
* “limited experience in USA”
* 2+ years of full-time work experience at US tech companies
* being from massive corporations
* lacking product-centric work
* not having customer-facing ownership
* agency background
* freelance for 16 years
* consulting instead of building internal products
* Full-time ICs who shipped and owned a product roadmap
* A 5–8 year full-stack engineer who has:
* Experience at high-growth startups (not big enterprise)
* Strong product sense + customer-facing feature experience
* Solid backend + frontend balance
* Full-time IC roles (not agency, not freelance, not consulting)
* 2+ years working at US tech companies
* They want a mid-level full-stack product engineer with real startup experience, US work history, and hands-on feature-building—not infra, not SRE, not enterprise, not freelancers, and not managers
* 5-7 years of full-stack software engineering experience and you can build products end-to-end (frontend + backend)
* Bonus: fluency in NextJS + React + Typescript stack, comfortable making UX decisions
* 1-2 years of proven experience building and shipping user-facing LLM products
* Bonus: you have iterated on a product through evals & CI/CD
* Ability to thrive in a fast-paced environment, startup experience
* Excellent communication skills (oral & written)
* Bonus: also excellent at communicating with AI (prompting)
* Front-end: Typescript, React, Next.js
## Benefits
* Learn an insane amount about the nuts & bolts of clean energy finance
## Responsibilities
* Full-stack engineers who build customer-facing features
* You won’t just be building features — you’ll be co-designing the processes and systems that define how we ship high-quality AI products at Crux
* Collaborate directly with customers
* Build products from 0 -> 1
* Pick the tools & frameworks we use

## Full Description
Please dont apply unless you fit below.

What This Client Is Actually Looking For1. A Mid-Level to Upper Mid-Level Full-Stack Engineer (NOT junior, NOT senior, NOT a manager)

They repeatedly reject:

• “too junior”

• “too senior”

• “director level”

• “management-focused vs IC”

Target level:

5–8 years of hands-on IC engineering experience

Not junior, not leadership, not executive

2. True Full-Stack, Product-Centric Engineers

They reject candidates who are:

• too frontend

• too backend

• too cloud/SRE/DevOps

• focused only on APIs or infrastructure

• not product/feature-focused

They want:

Full-stack engineers who build customer-facing features

Hands-on experience with user-facing products, experimentation, UI + backend

3. Strong Startup Experience (High-Growth, SaaS, Product-Led)

They consistently reject:

• big company engineers

• agency contractors

• freelancers

• consultants

• people who work “for others” instead of inside a product org

• people without startup experience

They want:

Engineers who have built software inside a high-growth tech startup

Preferably 2–5+ years at a VC-backed SaaS or product company

4. People Who Have Worked in the USA Long Enough

They reject:

• “only 1 year of USA experience”

• “limited experience in USA”

They prefer:

2+ years of full-time work experience at US tech companies

5. Not Too Corporate, Not Too Enterprise

Rejected for:

• being from massive corporations

• lacking product-centric work

• not having customer-facing ownership

They want:

Engineers used to startup environments where you ship quickly, own features, and iterate.

6. Solid Internal Product Engineering — Not Agencies, Not Contractors

Rejected for:

• agency background

• freelance for 16 years

• consulting instead of building internal products

They want:

Full-time ICs who shipped and owned a product roadmap.

Summary: The Ideal Candidate Profile

A 5–8 year full-stack engineer who has:

Experience at high-growth startups (not big enterprise)

Strong product sense + customer-facing feature experience

Solid backend + frontend balance

Full-time IC roles (not agency, not freelance, not consulting)

Built internal tools, platforms, AND external user features

2+ years working at US tech companies

No over-seniority or management-heavy roles

One-Sentence Summary

They want a mid-level full-stack product engineer with real startup experience, US work history, and hands-on feature-building—not infra, not SRE, not enterprise, not freelancers, and not managers.

The Role

The traditional process for financing clean energy is manual, opaque, and slow. We’ve built products that solve part of that problem — now we’re expanding their breadth and depth with AI. We’re hiring our first AI Product Engineer to work hand-in-hand with customers, product, commercial, and legal teams to reimagine the way transactions happen in clean energy finance, starting with diligence.

You won’t just be building features — you’ll be co-designing the processes and systems that define how we ship high-quality AI products at Crux.

Much of this framework doesn’t exist yet — and you’ll help invent it using first principles.

What you'll do

Collaborate directly with customers

Build products from 0 -> 1

Pick the tools & frameworks we use

Learn an insane amount about the nuts & bolts of clean energy finance

Raise the bar for our engineering culture

Skills

1) 5-7 years of full-stack software engineering experience and you can build products end-to-end (frontend + backend)

Bonus: fluency in NextJS + React + Typescript stack, comfortable making UX decisions

2) 1-2 years of proven experience building and shipping user-facing LLM products

Bonus: you have iterated on a product through evals & CI/CD

3) Ability to thrive in a fast-paced environment, startup experience

4) Excellent communication skills (oral & written)

Bonus: also excellent at communicating with AI (prompting)

• Front-end: Typescript, React, Next.js

• Back-end: Supabase, Postgres

Employment Type: FULL_TIME



## Qualifications
* As needed by the specific problem, you design, evaluate, and maintain ontologies
* Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required
* Minimum of 1 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration
* Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases
* Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)
* Minimum of 5 years of hands-on experience with cloud platforms (AWS, Azure, GCP)
* Minimum of 5 years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
* Minimum of 2 years of practical experience with NLP techniques, prompt engineering, and LLMs for enterprise-scale applications
* Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation
* You have team lead experience
* Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones
* You have external client-facing consulting experience
* Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field
* Broad experience in diverse ML techniques and agentic systems
* Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
## Benefits
* Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience
* As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below
* Role Location Annual Salary Range
* California $73,800 to $220,400
* Cleveland $68,300 to $176,300
* Colorado $73,800 to $190,400
* Maryland $73,800 to $190,400
* Massachusetts $73,800 to $202,700
* Minnesota $73,800 to $190,400
* New York/New Jersey $68,300 to $220,400
## Responsibilities
* As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems
* You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems
* You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios)
* As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value
* You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals
* Build Knowledge Graph solutions that transform clients’ data architecture
* Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly
* Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies
* Develop strong relationships with clients and gain the trust of key advisors
* Make the business case for the semantic layer solution recommended to the client
* Pitch in on Accenture sales efforts when needed
* Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns
* Travel may be required for this role
* The amount of travel will vary from 0% to 100% depending on business need and client requirements

## Full Description
We Are:

Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Advanced Data & AI team brings together ourExperienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.

• You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.

• You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).

• As needed by the specific problem, you design, evaluate, and maintain ontologies.

• As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value.

• You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work:

• Build Knowledge Graph solutions that transform clients’ data architecture.

• Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly

• Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies

• Develop strong relationships with clients and gain the trust of key advisors

• Make the business case for the semantic layer solution recommended to the client

• Pitch in on Accenture sales efforts when needed

• Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns.

Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements.

Here's what you need

• Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.

• Minimum of 1 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration

• Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases

• Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)

• Minimum of 5 years of hands-on experience with cloud platforms (AWS, Azure, GCP)

• Minimum of 5 years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)

• Minimum of 2 years of practical experience with NLP techniques, prompt engineering, and LLMs for enterprise-scale applications.

• Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation.

Bonus Points If:

• You have team lead experience

• Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.

• You have external client-facing consulting experience

• Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

• Broad experience in diverse ML techniques and agentic systems.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

Role Location Annual Salary Range

California $73,800 to $220,400

Cleveland $68,300 to $176,300

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Maryland $73,800 to $190,400

Massachusetts $73,800 to $202,700

Minnesota $73,800 to $190,400

New York/New Jersey $68,300 to $220,400

Washington $78,500 to $202,700

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.



## Responsibilities
* The ideal candidate will have a strong background in inventory management, shipping, and receiving processes
* Loading, unloading, and moving materials using hand truck, forklifts, pallet jacks, or other equipment
* Receiving all incoming shipments and acting as a primary point of contact for deliveries to the warehouse
* Processing incoming material receipt and collecting certificates for material release, as required
* Performing pre-trip, en-route, and post trip inspections of vehicle, reporting any mechanical issues and maintaining cleanliness of vehicle
* Adhering to company policies regarding transportation, safety, and confidentiality of cargo

## Full Description
Distribution Assistant Job Description

The ideal candidate will have a strong background in inventory management, shipping, and receiving processes.

• Loading, unloading, and moving materials using hand truck, forklifts, pallet jacks, or other equipment.

• Receiving all incoming shipments and acting as a primary point of contact for deliveries to the warehouse.

• Processing incoming material receipt and collecting certificates for material release, as required.

• Performing pre-trip, en-route, and post trip inspections of vehicle, reporting any mechanical issues and maintaining cleanliness of vehicle.

• Adhering to company policies regarding transportation, safety, and confidentiality of cargo.




## Full Description
Edge Performance Engineer - AI

Location:

Remote - Canada or Greater Toronto Area

A leading innovator in edge-based AI solutions is seeking a highly skilled Edge Performance Engineer to join their growing team. This cutting-edge role is at the intersection of hardware and AI, focusing on the optimization of GPU-accelerated vision pipelines running at the edge. This is a rare opportunity to influence the design and deployment of real-time computer vision systems across industrial and automation environments, with the support of a well-funded and visionary organization.

In this position, you'll take full ownership of the edge system performance lifecycle, from profiling and model optimization to system integration and observability. You'll work cross-functionally with machine learning, DevOps, and cloud engineering teams to ensure consistent, high-throughput inference at the edge. The ideal candidate thrives in resource-constrained environments and enjoys solving complex system-level challenges involving hardware acceleration, system bottlenecks, and runtime tuning.

Key Responsibilities

• Optimize performance of GPU-accelerated computer vision pipelines on edge hardware (e.g., NVIDIA Jetson, x86/ARM systems).

• Improve throughput and reduce latency through advanced model optimization techniques (e.g., quantization, TensorRT, ONNX Runtime).

• Profile and resolve system-level constraints across CPU, GPU, memory, storage, and network layers.

• Collaborate with machine learning teams to deploy robust models that meet real-world resource constraints.

• Integrate edge systems with observability and orchestration frameworks to ensure maintainability and scale.

• Develop dashboards and tools to monitor edge performance KPIs like frame rate, latency, uptime, and resource usage.

• Participate in root cause investigations for performance-related incidents on production systems.

• Provide technical input on system design and hardware selection for new edge deployments.

What You'll Bring

• 5+ years of experience in software engineering with a focus on high-performance or real-time systems.

• Strong background in GPU-accelerated development using CUDA, TensorRT, cuDNN, or equivalent vendor tools.

• Proficiency in Python and at least one systems language such as C++ or Rust.

• Proven experience in deploying and optimizing deep learning inference pipelines in production environments.

• Advanced Linux skills and comfort using observability tools (e.g., perf, strace, eBPF).

• Experience working with Docker and CI/CD workflows targeting edge devices.

• Deep debugging capabilities across application, system, and hardware levels.

Preferred Qualifications

• Background in edge AI, robotics, or industrial automation applications.

• Familiarity with video processing frameworks (e.g., GStreamer).

• Understanding of edge-specific challenges such as thermal throttling, intermittent connectivity, and limited bandwidth.

• Exposure to Kubernetes or other edge orchestration frameworks.

Why Join

• Work at the forefront of AI and computer vision innovation.

• Solve tangible, high-impact problems in real-world deployments.

• Join a mission-driven team with strong technical leadership and cross-functional collaboration.

• Enjoy a flexible, remote-first work culture with top-tier talent across Canada and beyond.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at 46Gs4yS



## Qualifications
* Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent years of IT experience
* 5+ years Experience deploying and administering NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g., Cray, HPE, IBM)
* 5+ years coordinating and supporting Linux-based operating systems
* 5+ years Proficiency in programming languages such as Python, Go, C/C++; experience with Git and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins)
* Advanced knowledge of Kubernetes, Docker, Terraform, Ansible, Jenkins, GitOps, Git, and Linux
* 5+ years Experience with the software development lifecycle: design, development, testing, packaging, and deployment (preferably using Python or Go)
## Benefits
* The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits
* Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training
* The full salary range for certain locations is listed below
* For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process
* U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance
* Please see the Cisco careers site to discover more benefits and perks
* Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time
* U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:
* 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
* 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
* Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
* Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
* 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
* Additional paid time away may be requested to deal with critical or emergency issues for family members
* Optional 10 paid days per full calendar year to volunteer
* For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies
* Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan
* For quota-based incentive pay, Cisco typically pays as follows:
* .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
* 1.5% of incentive target for each 1% of attainment between 50% and 75%;
* 1% of incentive target for each 1% of attainment between 75% and 100%; and
* Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation
* For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target
* Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid
* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined
* Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements
## Responsibilities
* Working alongside top AI experts, you'll contribute to ethical AI products and solutions that solve real-world problems and shape the future of technology
* Leverage SRE practices to reduce toil and maintain Service Level Objectives (SLOs) for internal AI platforms
* Lead, build, and run fully automated pipelines through CI/CD systems for operational excellence and continuous improvements
* Ensure the availability, scalability, latency, and efficiency of NVIDIA DGX and Cisco-UCS infrastructure using fault-tolerant engineering approaches
* Drive capacity planning, performance analysis, instrumentation, and other non-functional requirements
* Automate operational capabilities using Python, Ansible, Terraform, Go, and related technologies
* Deliver automation through CI/CD pipelines and chatbot integrations
* Implement metrics-driven processes to maintain high service quality

## Full Description
The application window is expected to close on: 12-25-25

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Work location: Remote withing USA

Meet the Team

At Cisco, the AI Infrastructure Services team is at the forefront of integrating artificial intelligence into our platforms, transforming collaboration, security, networking,observability, and more. We design, build, and maintain high-performance compute and AI platforms-including NVIDIA DGX and Cisco-UCS infrastructure-to empower Cisco's business and drive innovation. Working alongside top AI experts, you'll contribute to ethical AI products and solutions that solve real-world problems and shape the future of technology.

Your Impact

As an AI Site Reliability Engineer, you will:

- Leverage SRE practices to reduce toil and maintain Service Level Objectives (SLOs) for internal AI platforms.

- Lead, build, and run fully automated pipelines through CI/CD systems for operational excellence and continuous improvements.

- Ensure the availability, scalability, latency, and efficiency of NVIDIA DGX and Cisco-UCS infrastructure using fault-tolerant engineering approaches.

- Drive capacity planning, performance analysis, instrumentation, and other non-functional requirements.

- Automate operational capabilities using Python, Ansible, Terraform, Go, and related technologies.

- Deliver automation through CI/CD pipelines and chatbot integrations.

- Implement metrics-driven processes to maintain high service quality.

Minimum Qualifications

- Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent years of IT experience.

- 5+ years Experience deploying and administering NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g., Cray, HPE, IBM).

- 5+ years coordinating and supporting Linux-based operating systems.

- 5+ years Proficiency in programming languages such as Python, Go, C/C++; experience with Git and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).

- 5+ years experience deploying enterprise-grade Kubernetes clusters (RedHat OpenShift preferred) and/or Google Anthos.

- Advanced knowledge of Kubernetes, Docker, Terraform, Ansible, Jenkins, GitOps, Git, and Linux.

- 5+ years Experience with the software development lifecycle: design, development, testing, packaging, and deployment (preferably using Python or Go).

Preferred Qualifications

- Master's degree or equivalent experience in a relevant field.

- Certifications in Linux, networking, cloud, or related technologies.

- Previous experience as a compute or site/systems reliability engineer.

- Experience with hybrid cloud, virtualization, and container technologies.

- Familiarity with Agile and DevOps operating models, including project tracking tools (e.g., Jira, Rally).

- Excellent collaboration, leadership, and communication skills.

Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:

• 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

• 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

• Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

• Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

• 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

• Additional paid time away may be requested to deal with critical or emergency issues for family members

• Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

• .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

• 1.5% of incentive target for each 1% of attainment between 50% and 75%;

• 1% of incentive target for each 1% of attainment between 75% and 100%; and

• Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$165,000.00 - $277,600.00

Non-Metro New York state & Washington state:

$146,700.00 - $247,000.00

• For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

• * Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.




## Full Description
About WorldGuide AI

WorldGuide AI is developing a platform designed to simplify personalized travel planning. Our goal is to create a unified tool that allows travelers to manage itineraries, bookings, and collaboration efficiently. We are a small, focused team building the foundational technology for our web and mobile applications.

The Opportunity

We are seeking a highly motivated Software Developer Intern to join our core engineering team for a part-time or full-time internship. This is a hands-on role where you will work directly alongside experienced engineers, contributing to the development of our core product features. You will be instrumental in implementing key integrations with external travel services and building relevant user-facing components.

What You'll Do

As a key member of our small team, you will focus on core software engineering tasks:

• Feature Development:

Implement new travel service integrations and relevant user-facing components.

• Engineering Lifecycle:

Participate actively in the full software development lifecycle-from writing initial code and reviewing specifications to testing and deployment.

• Debugging & Testing:

Collaborate on identifying, debugging, and resolving software defects to ensure application stability and reliability.

• API Integration:

Assist in consuming and integrating external APIs for necessary travel-related data services.

• Code Quality:

Contribute to maintaining a clean, well-tested, and documented codebase.

What We're Looking For (Required Qualifications)

• Academic:

Currently pursuing a post-graduate program in Computer Science, Software Engineering, or a related field

• Fundamentals:

A strong grasp of computer science principles, including Data Structures and Algorithms

• Core Technology:

Proven professional or project experience with JavaScript/TypeScript.

• Web Knowledge:

Understanding of how to build or interact with REST APIs.

• Communication:

Strong verbal and written communication skills and a dedicated, collaborative approach to learning and problem-solving.

Why Join WorldGuide AI?

• Foundational Impact:

You will work on core, visible components of a product that is currently being built.

• Direct Mentorship:

Benefit from direct guidance and a steep learning curve working closely with experienced developers.

• Agile Environment:

Experience the focused, fast-paced environment of a startup in its earliest stages.

• Flexibility:

This is a remote position open to candidates located anywhere in Canada.




## Full Description
Senior Designer (AI) – Startup or Agency

Location: Calgary, AB (Onsite, 5 days/week)

Type: Full-Time

A rapidly expanding fintech organization is looking for a multi-disciplinary Senior Designer to play a leading role in building and rolling out new brands across a diverse portfolio of businesses, while leveraging AI along the way. This is a hands-on role for someone who loves shaping visual identities from the ground up and thrives in fast-moving, startup-style environments.

You’ll join a small, agile marketing team and work closely with the Marketing Manager, internal stakeholders, and creative leads to bring ambitious concepts to life across digital channels — with occasional print needs for events and collateral.

What You’ll Do

Branding & Visual Identity

• Lead the creation and refinement of visual identities for several new and emerging brands across the organization.

• Develop brand systems, design libraries, and guidelines that ensure consistency across touchpoints.

• Use rapid ideation workflows (including AI-powered tools) to explore directions, prototype options, and align stakeholders quickly.

Digital & Motion Design

• Produce a wide range of digital assets including campaign visuals, social content, landing pages, presentation decks, email graphics, and display banners.

• Create short-form motion assets, logo animations, and dynamic visuals for social, product explainers, and brand storytelling.

• Experiment with AI, 3D concepts, and motion tools to efficiently scale content output.

Cross-Brand Creative Execution

You’ll work across multiple brands, such as:

• A health-tech B2B brand needing refreshed motion assets, evolving visual language, and more efficient production of video and 3D-inspired content.

• A luxury travel brand needing fresh creative thinking and the development a distinct, premium visual identity.

• A consumer brand with an existing foundation that needs thoughtful refinement and ongoing creative support.

• Additional businesses requiring brand refreshes, new asset development, and high-volume day-to-day creative execution.

Stakeholder Collaboration

• Work closely with internal partners to interpret feedback, understand strategic goals, and translate ideas into compelling visual solutions.

• Present work confidently, explain design decisions, and iterate quickly in response to direct feedback.

• Conduct light market research to understand trends, competitor creative, and emerging visual directions.

What You’ll Bring

• Experience in a startup, fintech, or creative agency, with comfort operating in lean teams and fast-paced environments.

• Expert-level skills in Adobe Creative Suite, digital and AI tools.

• Familiarity and enthusiasm for AI-based creative workflows (ideation, prototyping, motion, video, layout generation).

• Ability to move between high-level conceptual thinking and efficient hands-on execution.

• Strength in visual storytelling, typography, layout, animation, and brand systems.

• Strong attention to detail, especially when applying evolving brand standards across channels.

• A proactive mindset and the ability to juggle multiple projects and brands at once.

• Excellent communication skills and comfort presenting creative work to stakeholders.

If you’re energized by building brands, working across a diverse portfolio, and using AI tools to produce a high volume of impactful work, we’d love to hear from you.




## Full Description
Alberta Blue Cross is an Alberta based organization dedicated to delivering exceptional customer experience and community leadership. We’re committed to providing the best health coverage to over 1.8 million members and take an active role in promoting wellness. We believe in what we do—and place trust in our employees to deliver our vision.Working at Alberta Blue Cross means having a career whereyou’ll be recognized for your contributions. We value diversity, encourage our team members to maintain a healthy work-life balance and provide opportunities for career growth.**OVERVIEW:**We are looking for a strategic and collaborative Manager, AI Governance to lead the development and implementation of our AI governance practices. This role plays a pivotal part in fostering trust in our AI assets by ensuring they are responsibly developed and effectively governed. This role is central to aligning AI initiatives with our corporate objectives, organizational values, and regulatory requirements.The successful candidate will be responsible for designing and operationalizing AI governance frameworks, policies, and tools that enable the secure, compliant, and value-driven use of AI and machine learning. In addition to governance leadership, this role leads stakeholder engagement through the AI Centre of Excellence and champions continuous learning and cross-functional collaboration to enhance AI literacy and drive responsible adoption across the organization. The Manager, AI Governance, serves as a strategic partner to data, technology, legal, security, and business teams, ensuring our AI systems reflect our commitment to ethical innovation and responsible technology leadership.**WHAT YOU WILL DO:*** Establish and Operationalize AI Governance Frameworks – Develop and maintain comprehensive governance frameworks, including policies, procedures, and best practices that promote the ethical, responsible, and compliant use of AI technologies.* Integrate Governance Across the AI Lifecycle – Collaborate with cross-functional teams to embed governance practices throughout the AI development and deployment lifecycle, ensuring consistency and accountability.* Ensure Regulatory and Ethical Compliance – Partner with legal, privacy, and risk teams to ensure AI systems meet applicable laws, regulations, and ethical standards.* Monitor and Report on Governance Performance – Prepare and deliver regular updates to senior leadership on the status of AI governance initiatives, including performance metrics, compliance status, and risk management activities.* Support Audits and Assessments – Facilitate regular reviews of AI systems and initiatives to validate adherence to governance standards and address any gaps or ethical concerns.* Maintain Governance Documentation and Asset Inventory – Oversee the creation and ongoing management of governance documentation, including policies, standards, and a centralized inventory of AI initiatives and assets.* Serve as a Governance and Compliance Liaison – Act as the primary point of contact for internal and external stakeholders on matters related to AI governance, compliance, and responsible use.* Facilitate the AI Center of Excellence – Lead the coordination of the AI Center of Excellence, fostering collaboration across a community of AI practitioners to drive strategic adoption and measurable business impact.* Engage with External Partners and Industry Leaders – Build and maintain relationships with academic institutions, industry bodies, and regulatory organizations to stay informed on emerging trends, evolving governance frameworks, and best practices in AI.* Anticipate and Address Emerging AI Risks and Opportunities – Stay ahead of evolving AI trends, technologies, and risks. Proactively assess implications and coordinate with accountable teams to define governance responses and policy positions.* Champion Responsible Enablement of AI Innovation – Balance governance and compliance with enablement by partnering with Learning & Development on AI literacy and evangelism, and across the enterprise to ensure governance frameworks support responsible experimentation, scalable deployment, and business value realization.**WHAT YOU WILL HAVE:*** A degree in a relevant field such as Information Management, Computer Science, Information Technology, Law, Business, or an equivalent combination of education and experience.* Five years plus experience in AI Governance or related fields, ideally within complex or regulated environments.* Proven ability to lead enterprise-level initiatives, with a strong track record of aligning governance strategies to business objectives and driving measurable outcomes.* Demonstrated experience in designing and operationalizing governance policies, procedures, and tools that support compliance, transparency, and value creation.* Strong understanding of AI/ML technologies, governance frameworks, regulatory requirements, and ethical considerations related to responsible AI use.* Strong communication and relationship-building skills, with the ability to influence and collaborate across technical, business, legal, and compliance teams.* Familiarity with global and industry-specific regulations, standards, and best practices related to AI, data privacy, and digital ethics.* Excellent leadership, communication, and stakeholder engagement skills, with the ability to influence across business and technical teams.* Leadership experience, encompassing building out new corporate functions and teams from scratch.* Demonstrated ability to stay current with industry trends, emerging technologies, and best practices.* Proactively seeks out opportunities for professional development through courses, certifications, conferences, or self-directed learning.* Leadership experience in establishing and scaling new corporate functions and teams from the ground up.This position will remain open until January 9, 2026.Alberta Blue Cross is an inclusive employer committed to a workplace that reflects the diversity of the communities we serve. We empower and are advocates for our team members by welcoming, respecting and valuing their unique perspectives, backgrounds, and experiences.We offer the opportunity to work in an innovative, high-energy team-focused environment. If you have the qualifications we are looking for, apply online atWe believe in what we do—and place trust in our employees to deliver our vision./* The Blue Cross symbol and name are registered marks of the Canadian Association of Blue Cross Plans, an association of independent Blue Cross plans. Licensed to ABC Benefits Corporation for use in operating the Alberta Blue Cross Plan. † Blue Shield is a registered trade-mark of the Blue Cross Blue Shield Association.Alberta Blue Cross is an Alberta based not-for-profit, dedicated to delivering exceptional customer experience and community leadership. We are committed to providing the best health coverage to over 1.8 million members and take an active role in promoting the wellness of all Albertans.

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Senior Design Engineer (High Performance AI Chips)