Senior System Software Engineer, GPU Performance Profiling

Nvidia · Austin, TX

senior operations Systems Engineer ic 5+ yrs Phd's · Posted Apr 20, 2026

About this role

Nvidia is hiring a senior-level Systems Engineer in the operations function based in Austin, TX. The posting calls out experience with C, CUDA, Deep Learning, Linux and roughly 5+ years of relevant work. Listed education preference: a Ph.D. or equivalent.

Role
Systems Engineer
Function
operations
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Austin, TX
Experience
5+ years
Education
Ph.D. preferred
Posted
Apr 20, 2026
AI Summary
Develop GPU performance analysis and profiling tools for Linux, Windows, and embedded systems. Requires PhD in Computer Science/Engineering, 5+ years software development, strong C/C++ skills, GPU compute API knowledge (CUDA/OpenCL), and assembly code experience. Design and implement features across the compute profiler stack.
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Job description

from Nvidia careers

Join the NVIDIA Developer Tools team and empower engineers throughout the world developing innovative products in Automotive, VR, Gaming, Deep Learning, and High Performance Computing! See your efforts in action as developers use your tools to profile and analyze the performance of their applications and systems. Innovate as you develop the performance analysis capability of future generations of NVIDIA GPUs. The successful Profiling Tools Engineer will work with the NVIDIA Compute Tools team to build tools to enable developers worldwide to harness the full power of NVIDIA GPUs.

We are seeking a software developer to join our effort to advance the state of performance analysis and tuning for GPUs. You will apply knowledge of compute programming models and compute architecture to craft tools that provide useful feedback to compute developers. You will be working on our existing profiler stack and application code, interact with other teams within NVIDIA, as well as innovating the next big features in our tools.

What you’ll be doing:

  • Develop compute performance analysis tools for GPUs running on Linux, Windows, and embedded operating systems.

  • Work with tools, architecture, and driver teams to design, implement and verify new features in the compute profiler stack.

  • Write fast, effective, maintainable, reliable, and well documented code.

    This is an excerpt. Read the full job description on Nvidia careers →
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