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# Senior System Simulation Architect

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Applications, C++ (Programming Language), Nvidia CUDA, Software Debugging, Linux, Emulators, Firmware, Field-Programmable Gate Array (FPGA), Python (Programming Language), Linux Kernel, Tensorflow, Software Engineering, System Programming, System Software, Multithreading, High Performance Computing, Pytorch, Virtual Reality, Deep Learning, Modeling and Simulation
- **Published:** October 13, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-System-Simulation-Architect_JR2017744-1

## About the Role

* BS/MS in EE, CE, or CS or equivalent experience
 * 6 or more years of relevant experience
 * Excellent C/C++/Python programming skills
 * Experience in development of functional simulators and/or low-level software (OS, firmware, drivers); preferably both
 * Excellent debugging skills - of both system software/firmware and application software
 * Experience with the ARM ISA
 * Excellent communication and teamwork skills

Ways to stand out from the crowd:

 * Experience working with hardware emulators and/or FPGAs
 * Background in CPU workload analysis (SimPoint, etc.)
 * Experience with Linux kernel bringup and debug
 * Familiarity with CUDA
 * Experience with CPU/GPU application development and optimization in Pytorch, TensorFlow, and similar frameworks

## Description

Do you want to help drive the development of CPU architectures to fuel the explosive growth in artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team as a Senior System Simulation Architect and help us push performance boundaries for NVIDIA's line of CPU products!

What you'll be doing:

 * Develop full-system functional models capable of running complex multi-threaded heterogeneous (CPU/GPU) workloads - with special focus on the CPU subsystem.
 * Integrate functional models from various frameworks with RTL simulators and emulators, hardware (HW-in-the-loop), and detailed performance models.
 * Bring up system and application software in simulation and emulation - including firmware, Linux, drivers, benchmarks, and CPU/GPU workloads such as deep-learning (DL) and high-performance computing (HPC) workloads.
 * Port/extend/develop system software (firmware, OS, and drivers) to meet workload simulation needs.
 * Support CPU architects and performance engineers in their use of functional models, performance models, and emulation to drive next-generation CPU architectures.