Senior CPU Workloads and Simulation Architect

NVIDIA•Austin, CA

10d

About The Position

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! 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.

Requirements

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

Nice To Haves

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

Responsibilities

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.