Join NVIDIA’s dynamic software team as a GPU programmer where you will play a pivotal role in developing the core infrastructure for modeling, analyzing, and debugging large-scale graphics and computing chips. Your responsibilities include crafting chip simulations, authoring test languages and tools, and enhancing performance through close collaboration with GPU architects and software teams to ensure production-ready drivers upon silicon release. You will specialize in running SW applications on simulated GPUs across various environments, capturing critical instrumentation requirements for next-generation improvements. This role demands strong C++ programming skills, knowledge of object-oriented design patterns, and proficiency in Python scripting alongside experience with chip simulation and distributed computing tools. Ideal candidates have a background in Computer Science or Engineering and at least two years of relevant software development experience, particularly in CUDA or graphics driver stacks like DX, OpenGL, or Vulkan.
Skills
C++
Python
CUDA
DX
OpenGL
Vulkan
Chip Simulation
Virtual Machines
Containers
Distributed Programming
Object-Oriented Design Patterns
CI/CD
What you'll do
Develop core infrastructure for modeling and analyzing large-scale GPU development.
Specialize in running software applications on simulated GPUs across various environments.
Capture instrumentation requirements from GPU architects for next-generation improvements.
Coordinate with GPU architects to enable functional and performance testing for new architectures.
Improve daily workflows of chip modelers and designers globally to enhance GPU production.
What we're looking for
Bachelor's or Master's degree in Computer Science or Engineering.
2+ years of software development experience.
Proficiency in C++ and understanding of GPU driver stacks.
Knowledge of object-oriented design patterns and Python scripting.
Experience with chip/system simulation and farm compute tools.
Strong interpersonal skills for dynamic, cross-disciplinary work environments.
Market check
Salary context
This
$124,000–$195,500
range sits above
25%
of similar postings on FindRole.
Peer median band
$150,500–$234,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$160,687–$235,750
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 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
Us, Ca, Santa Clara, US10 days ago
$152,000–$241,500
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
Remote (3900 N Capital Of Texas Hwy, Austin, Tx, Usa, US)84 days ago
$180,200–$297,200
C
C++
Python
Vulkan
DirectX
Metal
HLSL
GLSL
OpenCL
CUDA
Unreal
Unity
Linux
Android
OpenGL
3D graphics
GPU hardware
ray tracing
rasterization
linear algebra
multi-threaded debugging
performance profiling
parallel programming
game engines
offline compiler
JIT compiler