Join the CPU performance architecture team at NVIDIA as a Senior System Simulation Architect to drive the development of cutting-edge CPU architectures for AI, HPC, gaming, virtual reality, and autonomous vehicles. Your daily tasks will include developing full-system functional models capable of running complex multi-threaded heterogeneous workloads with a focus on the CPU subsystem, integrating these models with RTL simulators, hardware-in-the-loop systems, and detailed performance models, and bringing up system software in simulation and emulation environments. You will also support CPU architects and performance engineers by providing them with functional models, performance models, and emulation tools to drive next-generation CPU architecture advancements. Ideal candidates have a BS/MS in EE, CE, or CS, 6+ years of relevant experience, and strong skills in C/C++/Python programming, system software development, and debugging. Experience with ARM ISA, hardware emulators, Linux kernel bringup, CUDA, and CPU/GPU application optimization frameworks like Pytorch and TensorFlow is a plus. NVIDIA’s Grace CPU Superchip and Vera CPU are pivotal in the company's expansion into the CPU server market, aiming to deliver exceptional performance-per-watt efficiency for complex workloads across various industries.
Skills
C
C++
Python
ARM
Linux
CUDA
Pytorch
TensorFlow
SimPoint
FPGA
Kubernetes
Docker
CI/CD
Git
Jenkins
What you'll do
Develop full-system functional models for running multi-threaded heterogeneous workloads focusing on the CPU subsystem.
Integrate functional models from various frameworks with RTL simulators, emulators, hardware, and detailed performance models.
Bring up system and application software in simulation and emulation environments including firmware, Linux, drivers, and benchmarks.
Port, extend, or develop system software to meet workload simulation requirements for complex workloads.
Support CPU architects and performance engineers by providing functional models, performance models, and emulation tools.
What we're looking for
BS/MS in EE, CE, CS or 6+ years relevant experience
Expertise in C/C++/Python programming
Experience developing functional simulators and low-level software
Proficiency debugging system/software and application software
Knowledge of ARM ISA and hardware emulators/FPGAs
Background in CPU workload analysis using SimPoint
Familiarity with Linux kernel bringup, CUDA, PyTorch, TensorFlow
Market check
Salary context
This
$184,000–$287,500
range sits above
85%
of similar postings on FindRole.
Peer median band
$148,700–$227,123
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$151,475–$235,000
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
Us, Ca, Santa Clara, US31 days ago
$224,000–$356,500
C/C++
Python
ARM
SimPoint
Pytorch
TensorFlow
Sampling methodology
Data science
User-mode and kernel-mode drivers
Functional and performance simulators
CPU/GPU application development
NVIDIA Grace CPU Superchip
Vera CPU