NVIDIA

NVIDIA

Posted via Workday

Senior System Simulation Architect

Posted Aug 5, 2026

Role at a glance

Salary
$184K – $356.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
6 or more years of relevant experience
Education
BS/MS in EE, CE, or CS or equivalent experience

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Role Summary

AI-generated

The Senior System Simulation Architect will join NVIDIA’s CPU performance architecture team to develop system simulations for CPU products supporting AI/deep learning, high-performance computing, gaming, virtual reality, and autonomous vehicle workloads. The role focuses on CPU subsystem models and helps CPU architects and performance engineers evaluate next-generation CPU architectures.

What You'll Do

  • Develop full-system functional models for complex multi-threaded heterogeneous CPU/GPU workloads.
  • Integrate functional models with RTL simulators, emulators, hardware-in-the-loop, and detailed performance models.
  • Bring up firmware, Linux, drivers, benchmarks, and CPU/GPU workloads in simulation and emulation.
  • Port, extend, and develop firmware, operating system, and driver software for workload simulation.
  • Support CPU architects and performance engineers in using functional models, performance models, and emulation.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

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; excellent debugging skills; experience with the ARM ISA; excellent communication and teamwork skills.

Required

  • C/C++/Python programming
  • Functional simulator development and/or low-level software development
  • Debugging system software/firmware and application software
  • ARM ISA
  • Communication and teamwork

Preferred

  • Hardware emulators and/or FPGAs
  • CPU workload analysis (SimPoint, etc.)
  • Linux kernel bringup and debug
  • CUDA
  • CPU/GPU application development and optimization in Pytorch, TensorFlow, and similar frameworks

Original job description

Content provided by the employer

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.    

What we need to see:

  • 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

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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 2026.

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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.