Senior System Software Engineer - Performance

Job Description

NVIDIA is seeking a System Performance Engineer to work on at-scale AI system performance and datacenter applications, contributing to the latest breakthroughs in artificial intelligence and GPU computing.

Requirements

• 5+ years of experience running multinode workloads and identifying bottlenecks and implementing improvements
• Proven understanding of high-performance computing based architectures and GPU accelerated computing software stacks and DL Frameworks (CUDA, PyTorch)
• Experience with CPU architectures
• Experience with C/C++/Python/Bash programming/scripting
• Strong teamwork and communication skills
• Ability to multitask in a dynamic environment
• BS in Engineering, Mathematics, Physics, or Computer Science, MS or PhD desirable (or equivalent experience)

Responsibilities

• Provide engineering solutions to enable deployment of world-class GPU computing products at scale
• Lead technical relationships with engineering teams and assist system administrators, software and hardware engineers, and machine learning/deep learning engineers
• Lead aspects of performance analysis and scalable practices to support large scale infrastructure
• Deliver engineering solutions to deliver continuous insights into performance of AI workloads over evolving environments
• Decompose multi-faceted issues into minimal reproduction cases and work towards final root cause of underlying problems
• Participate and engage with multiple team members to develop best practices for understanding trends in test results and presenting data clearly to develop data-driven actions

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching