AI Platform Systems Engineer

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.

Key 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

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

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