Senior Performance Architect, Nemotron

Requirements

• of a Master's degree (or equivalent experience) in Computer Science, Electrical Engineering or related fields.
• Strong background in computer architecture, roofline modeling, queuing theory and statistical performance analysis techniques.
• Solid understanding of ML fundamentals, model parallelism and inference serving techniques.
• Proficiency in Python (and optionally C++) for simulator design and data analysis. 3+ years of hands-on experience in system evaluation of AI/ML workloads or performance analysis, modeling and optimizations for AI.
• Comfortable defining metrics, designing experiments and visualizing large performance datasets to identify resource bottlenecks.
• Experience with deep learning frameworks like PyTorch, TRT-LLM, VLLM, SGLang A Growth mindset and pragmatic “measure, iterate, deliver” approach.
• Ways to Stand Out from the Crowd Proven track record of working in multi-functional teams, spanning algorithms, software and hardware architecture.
• Ability to distill complex analyses into clear recommendations for both technical and non-technical collaborators.
• Experience with GPU computing (CUDA) Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
• You will also be eligible for equity and benefits .
• Applications for this job will be accepted at least until May 23, 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.