Senior System Simulation Architect

About the role

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!

Responsibilities

• 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.

Requirements

• 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

Qualifications

• 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

Skills

• Experience with AI, HPC, and advanced system design
• Experience with AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments

Benefits

• NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design.
• The company powers transformative applications across industries — from robotics and autonomous vehicles to healthcare and climate research.
• 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.

Pay

• 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.

Schedule

• You will be eligible for equity and benefits.

How to stand out

• 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

Application Instructions

Applications for this job will be accepted at least until May 11, 2026. This posting is for an existing vacancy.