Senior Performance Engineer

What You'll Do

• aligning the next generation AI workloads on top of next generation datacenter designs.
• This involves early engagement with HW/FW/SW/platform internal and customer teams, and other groups.
• Deliver engineering solutions to deliver continuous insights into performance of AI workloads over evolving environments, generating quick insights to improvements and regressions over time.
• Decompose high-complexity performance or stability issues into minimal reproduction cases, working towards final root cause of underlying problems.
• Participating in engagements with various SW and FW (BMC/SBIOS/OS/drivers etc) teams to develop best-in-class practices and tools, you will be analyzing, debugging and resolving critical firmware and software issues for the best AI workload performance at scale.
• What we need to see: 8+ years of experience in using accelerated computing for datacenter container computing solutions.
• Proven understanding of accelerated computing software stacks and DL Frameworks (CUDA, PyTorch).
• Experience using and handling modern Cloud and container-based Enterprise computing architectures.
• C/C++/Python/Bash programming/scripting experience.
• Experience with CPU architecture.
• Experience with container technology and Linux based OSes.
• Understanding of collective communication and the patterns in AI workloads.
• Experience working with engineering or academic research community supporting high performance computing or deep learning.
• Strong verbal and written communication skills as well as strong teamwork and communication skills.
• Action driven with strong analytical and analytical skills.
• BS in Engineering, Mathematics, Physics, or Computer Science, MS or PhD desirable (or equivalent experience).
• Ways to Stand Out From the Crowd: At-scale DL training experience.
• DL and graph compiling programming skills.
• Exposure to virtualization techniques, cloud platform solutions.
• Exposure to scheduling and resource management systems.
• Experience with large scale HPC environments.
• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
• You will also be eligible for equity and benefits .
• Applications for this job will be accepted at least until February 14, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.