Senior System Simulation Architect

at Nvidia
USD 184,000-356,500 per year
SENIOR
✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences

Linux @ 4 Python @ 4 TensorFlow @ 4 Communication @ 4 Debugging @ 4 PyTorch @ 4 CUDA @ 3 GPU @ 4 Deep Learning @ 4 AI @ 4 HPC @ 4

Details

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

Ways 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.

Company and context

NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. With products such as the Grace CPU Superchip and the Vera CPU, NVIDIA has expanded into the CPU server market. The CPU architecture team integrates CPU innovations with NVIDIA’s broader technology stack to enable faster AI model training, efficient data processing, and scalable cloud deployments.

Compensation

  • Base salary range: 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. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity.