REMOTE AI Systems Engineer

Qualifications

• Requirements: 3+ years of Systems Engineering/DevOps/AI Infrastructure, AI, Python/Golang/Rust, and HPC experience
• The ideal candidates have a strong background in systems engineering, high-performance computing, software defined networking, and general software development, with some experience in machine learning and deploying/maintaining AI systems in production
• 5+ years of Systems Engineering, DevOps, or AI/ML Infrastructure experience
• 2+ years of experience in High Performance Computing
• Experience building cloud computing platforms (from scratch is a huge plus)
• Hands-on experience with AI frameworks (TensorFlow, PyTorch, etc.)
• Experience deploying AI/ML models in production environments
• Strong knowledge of distributed systems & HPC for AI workloads
• Experience with containerization & orchestration tools (Docker, Kubernetes, etc.)
• Programming skills in Golang, Python, or Rust
• Familiarity with AI platform tools (Mosaic AI, Run
• AI, SageMaker, Vetex AI, etc.)
• Familiarity with Infiniband and/or RoCEv2 networking, & NCCL
• Proficiency in using AI hardware accelerators (GPUs, TPUs, etc)
• BS in Computer Science, Engineering, or related (Master's degree is a huge plus)
• For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa
• CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act

Benefits

• $175k-$250k base + RSUs + Full Benefits
• $175k - $300k/year DOE
• 5 weeks PTO
• 401k w/ match
• Comprehensive Benefit Plan

Responsibilities

• Design and implement scalable AI/ML infrastructure
• Optimize AI pipelines for performance and reliability
• Integrate AI models using CI/CD best practices
• Model Deployment and Optimization:
• Deploy AI models in various environments (cloud, edge, on-premises)
• Optimize inference performance for latency, throughput, and energy efficiency
• Use tools like TensorRT and ONNX to accelerate models
• Maintain HPC clusters, GPUs, and distributed systems
• Develop tools for system monitoring and troubleshooting
• Ensure AI system reliability through proactive maintenance
• Align AI systems with overall product architecture
• Support AI researchers with efficient data pipelines and computing environments
• Ensure compliance with security standards and data privacy regulations
• Secure sensitive data and models in production
• Stay updated with AI and machine learning advancements
• Integrate new tools and methods to enhance systems

Full Description

Title:

AI Systems Engineer

Location:

FULLY remote

Salary:

$175k-$250k base + RSUs + Full Benefits

Requirements: 3+ years of Systems Engineering/DevOps/AI Infrastructure, AI, Python/Golang/Rust, and HPC experience

Our HPC infrastructure goes beyond just the GPU - allowing companies to train, iterate, and deploy AI & ML projects faster than ever We specialize in high-performance GPU cloud solutions tailored for AI & ML projects and cutting-edge infrastructure (including GPU clusters, high-speed networking, and scalable storage) to support demanding workloads.

Our services are designed to optimize performance, reliability, and affordability for AI researchers, ML engineers, and enterprises.

We're currently experiencing MASSIVE GROWTH...

Our revenue grew over 95% in the last YEAR We have made several acquisitions and formed several partnerships during this period of growth, and we need YOUR HELP to keep it going..

We're currently seeking a talented and highly motivated AI Systems Engineer to design, build, and optimize the infrastructure that powers AI-driven applications.

You'll work at the intersection of hardware, software, and data - enabling efficient deployment of AI models and solutions at scale.

The ideal candidates have a strong background in systems engineering, high-performance computing, software defined networking, and general software development, with some experience in machine learning and deploying/maintaining AI systems in production.

What You'll Be Doing

AI Infrastructure Design and Development:

Design and implement scalable AI/ML infrastructure.

Optimize AI pipelines for performance and reliability.

Integrate AI models using CI/CD best practices.

Model Deployment and Optimization:

Deploy AI models in various environments (cloud, edge, on-premises).

Optimize inference performance for latency, throughput, and energy efficiency.

Use tools like TensorRT and ONNX to accelerate models.

Systems Engineering:

Maintain HPC clusters, GPUs, and distributed systems.

Develop tools for system monitoring and troubleshooting.

Ensure AI system reliability through proactive maintenance.

Collaboration and Cross-Functional Work:

Align AI systems with overall product architecture.

Support AI researchers with efficient data pipelines and computing environments.

Security and Compliance:

Ensure compliance with security standards and data privacy regulations.

Secure sensitive data and models in production.

Emerging Technology Integration:

Stay updated with AI and machine learning advancements.

Integrate new tools and methods to enhance systems.

What You Need For This Position

5+ years of Systems Engineering, DevOps, or AI/ML Infrastructure experience

2+ years of experience in High Performance Computing

Experience building cloud computing platforms (from scratch is a huge plus)

Hands-on experience with AI frameworks (TensorFlow, PyTorch, etc.)

Experience deploying AI/ML models in production environments

Strong knowledge of distributed systems & HPC for AI workloads

Experience with containerization & orchestration tools (Docker, Kubernetes, etc.)

Programming skills in Golang, Python, or Rust

Familiarity with AI platform tools (Mosaic AI, Run.

AI, SageMaker, Vetex AI, etc.)

Familiarity with Infiniband and/or RoCEv2 networking, & NCCL

Proficiency in using AI hardware accelerators (GPUs, TPUs, etc)

BS in Computer Science, Engineering, or related (Master's degree is a huge plus)

What's In It For You

$175k - $300k/year DOE

RSU's

5 weeks PTO

401k w/ match

Comprehensive Benefit Plan

Email Your Resume In Word To

Looking forward to receiving your resume through our website and going over the position with you.

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AH L406 in the email subject line for your application to be considered.***Abi Harper - Lead Recruiter

For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa.

This job was first posted by CyberCoders on 06/10/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.

CyberCoders is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law.

CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act.

CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities.

Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.