Do you want to help improve CPU architectures to support growth in AI, deep learning, HPC, gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team as a Senior CPU Workloads & Simulation Architect and help us push performance boundaries for NVIDIA’s line of CPU products!
What you’ll be doing:
Research, architect, implement, and evaluate mechanisms for capturing and studying complex applications suitable for architectural and microarchitectural CPU analysis in simulation. This includes multi-core, multi-thread, and heterogenous workloads spanning CPU/GPU/NIC, simulated at the user-level, VM-level, and full-system level.
Implement tools, processes, and systems for collecting traces and checkpoints for complex multi-threaded heterogeneous applications and support other architects in using those tools to study workloads.
Contribute to developing functional and performance models of ARM-based systems. Focus on infrastructure for recording and replaying workload sequences for performance and power analysis.
Stay on top of guidelines in industry and academia relating to simulation, checkpointing, tracing, deterministic replay, and architectural/microarchitectural analysis of complex heterogeneous computer systems.
What we need to see:
BS/MS in EE, CE, or CS or equivalent experience
12 or more years of relevant experience
Experience with CPU workload methodology: state capture and replay, trace analysis, SimPoint, etc.
Knowledge of CPU and system architecture and microarchitecture
Strong C/C++ and Python programming skills
Excellent communication and collaboration skills
Ways to stand out from the crowd:
Strong knowledge in sampling methodology and data science
Experience with CPU/GPU application development and optimization in Pytorch, TensorFlow, and similar frameworks
Proficiency in the ARM instruction set architecture
Experience developing user-mode and/or kernel-mode drivers
Background in writing functional and/or performance simulators
NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries — from robotics and autonomous vehicles to healthcare and climate research. With the introduction of the Grace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA’s broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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.Skills Required
- BS/MS in EE, CE, or CS or equivalent experience
- 12 or more years of relevant experience
- Experience with CPU workload methodology: state capture and replay, trace analysis, SimPoint, etc.
- Knowledge of CPU and system architecture and microarchitecture
- Strong C/C++ and Python programming skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
