Join NVIDIA’s dynamic software team as a senior GPU programmer to craft the architecture of future GPUs by developing core infrastructure for modeling, analyzing, and debugging large-scale graphics and computing chips. You will thrive at the interface between software drivers and GPU simulation, becoming an expert in running SW applications on simulated GPUs across diverse environments while capturing instrumentation requirements from GPU architects and coordinating with them for functional and performance testing. This role involves improving daily workflows of global chip modelers and designers to deliver production-ready drivers when silicon goes to market. Ideal candidates have a Bachelor’s or Master’s degree in Computer Science/Engineering, 5+ years of software development experience, strong C++ programming skills, knowledge of object-oriented design patterns, and familiarity with GPU driver stacks, Python scripting, and farm compute tools like virtual machines and containers.
Skills
C++
Python
CUDA
DX
OpenGL
Vulkan
Object-Oriented_Design_Patterns
Chip_Simulation
System_Simulation
Virtual_Machines
Containers
Distributed_Programming
What you'll do
Develop core infrastructure for modeling, analyzing, and debugging large-scale GPU chips.
Coordinate with GPU architects to enable functional and performance testing for new architectures.
Capture instrumentation requirements from GPU architects researching next-gen improvements.
Improve daily workflows of chip modelers and designers globally to produce advanced GPUs.
Work closely with software teams to deliver production-ready drivers when silicon goes to market.
What we're looking for
5+ years of relevant software development experience
Bachelor's or Master's in Computer Science or Engineering
Proficiency in C++ and object-oriented design patterns
Understanding of GPU driver stacks (CUDA, DX, OpenGL, Vulkan)
Experience with chip/system simulation and Python scripting
Strong interpersonal skills for dynamic team environments
Familiarity with farm compute tools like virtual machines and containers
Market check
Salary context
Competitive pay
How this pay compares to similar roles
Similar $195k
This role $197k
$141k
most similar roles pay here
$252k
This role pays more than
59%
of similar roles. Most pay
$154,250–$235,750
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$195k
for comparable roles.
Based on 240 similar postings.
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
824 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 812 roles with salary data.
C
C++
CUDA
OpenCL
Linux
Windows
Git
Python
CI/CD
Doxygen
Markdown
JIRA
Confluence
NVIDIA GPUs
GPU Compute API
Assembly programming
Performance analysis tools
High performance computing
Software design
Debugging skills
C
C++
Python
ARM
ACPI
Device_Tree
Linux
Windows_Kernel
Hypervisor
GDB
WinDBG
GCC
MSVC
LLVM
SOC_Architecture
GPU_Software_Stack
CI/CD
Embedded_Systems
System_Level_Security