← All roles

System Software Engineer – Data Center GPU Compute Diagnostics

NVIDIA· Engineer, Sys SW
Apply on company site
US, NC, Durham$124k - $195.5kFull-timePosted 4d ago

About the role

System software engineer to develop low-level diagnostic software for next-generation data center GPUs and rack-scale AI systems, focusing on hardware diagnostics, validation, and stress testing close to the hardware.

Responsibilities

  • Developing diagnostic and stress software in C/C++ and Python for complex hardware systems.
  • Interfacing with hardware blocks, firmware, Linux device drivers, registers, telemetry, and low-level debugging tools.
  • Bringing up and validating new silicon and system features using pre-production hardware and software.
  • Creating targeted tests for compute engines, memory and cache subsystems, DMA engines, PCIe/NVLink interfaces, power, and thermal behavior.
  • Investigating hardware and software failures involving memory errors, ECC, data integrity, performance, thermals, voltage/frequency behavior, and high-speed interfaces.
  • Contributing to diagnostic and stress workloads ranging from low-level tests for GPU hardware to higher-level AI workloads, with opportunities to develop expertise in CUDA programming, GEMM-style compute, NCCL, and PyTorch-based workloads.
  • Using modern development and analysis tools, including AI-assisted tools where appropriate, to accelerate coding, debugging, test creation, and failure analysis.

Qualifications

  • BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent experience.
  • 2+ years of experience in embedded software, firmware, Linux device drivers, systems software, hardware validation, diagnostics, or silicon bring-up.
  • Strong programming skills in C and C++, plus working proficiency in Python.
  • Experience developing software that interacts with hardware, firmware, device drivers, hardware registers, or low-level interfaces.
  • Experience creating diagnostics, validation tests, stress tests, manufacturing tests, or other software used to isolate hardware or system failures.
  • Understanding of fundamental computer architecture concepts such as memory, caches, interrupts, DMA, buses, and device I/O.
  • Strong debugging and problem-solving skills, including the ability to investigate failures across hardware and software boundaries.
  • Ability to take ownership of a well-scoped problem and drive it to completion while collaborating with a technical lead and cross-functional teams.
  • Good written and verbal communication skills.

Skills

Required:CC++PythonLinux device driversDiagnostics and validation testsHardware-software integrationDebugging skills

Benefits

  • Equity
  • Benefits package (information available at NVIDIA benefits site)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA