Systems Engineer

About

Drive the development of a cutting-edge AI platform as a Systems Engineer. Focus on building efficient solutions for inference and training of large-scale models using advanced technologies.

This role involves collaborating on a unified AI platform, enhancing NVIDIA technologies including inference frameworks and ML compilers. You'll design solutions for scheduling AI workloads on GPU clusters and tackle industry-scale challenges like resource management and GPU scheduling. Your contributions will extend to collaboration with teams focusing on workload management and performance prediction technologies.

Utilize your systems engineering expertise in AI to innovate and optimize model performance on our advanced platform.

Responsibilities

• Develop AI platform for training and serving AI models
• Design scheduling solutions for GPU cluster workloads
• Explore solutions for resource management and GPU scheduling
• Collaborate with adjacent teams on platform development
• Contribute to live workload migration strategies

Requirements

• Bachelor’s degree in Computer Science or related field
• 5+ years of relevant experience in large-scale systems
• Strong coding skills in Python, Go, Rust, or C / C++
• Experience with container-based deployments like Kubernetes
• Solid understanding of algorithms, operating systems, and AI technologies