CyberCoders
Overview
Join to apply for the
AI Systems Engineer
role at
CyberCoders 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 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.
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.
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, Vertex 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 - $250k/year DOE RSU's 401k w/ match
#J-18808-Ljbffr
Join to apply for the
AI Systems Engineer
role at
CyberCoders 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 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.
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.
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, Vertex 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 - $250k/year DOE RSU's 401k w/ match
#J-18808-Ljbffr