Senior Performance Architect

NVIDIA

Senior Performance Architect developing high-fidelity performance models for Nemotron at NVIDIA. Shaping AI system architectures through analytics and collaboration with cross-functional teams.

Posted 5/19/2026full-timeCalifornia, Oregon, Washington • 🇺🇸 United StatesSenior💰 $152,000 - $241,500 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Develop high-fidelity analytical performance models to prototype emerging algorithmic techniques & hardware optimizations to drive model-hardware co-design Nemotron family of models.
Prioritize features to guide future software and hardware roadmap based on detailed performance modeling and analysis.
Model end-to-end performance impact of emerging GenAI workflows - such as Speculative Decoding, Agentic Pipelines, Inference-time compute scaling, RL etc. – to understand future datacenter needs.
Keep up with the latest DL research and collaborate with diverse teams, including DL researchers, hardware architects, and software engineers.

Requirements

What you’ll need

A minimum qualification 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.

Benefits

Comp & perks

equity
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Hard Skills & Tools

analytical performance modelsalgorithmic techniqueshardware optimizationsperformance modelingperformance analysiscomputer architectureroofline modelingqueuing theorystatistical performance analysismodel parallelism

Soft Skills

collaborationgrowth mindsetpragmatic approachdefining metricsdesigning experimentsvisualizing datasets

Certifications

Master's degree in Computer ScienceMaster's degree in Electrical Engineering