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 working with AI, HPC, and advanced system design
• Experience with AI and GPU technologies

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.

Application Instructions

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

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