Low-Level Data Center GPU Diagnostics Engineer

NVIDIA; Durham (NC); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA seeks a systems software engineer to craft low-level diagnostic software for next-generation data center GPUs and rack-scale AI systems. You’ll own components from design to field support, collaborating with hardware architects, driver developers, silicon-validation engineers, and manufacturing teams.

You will develop and validate software that exercises hardware, GPUs, memory subsystems, and PCIe/NVLink interfaces, while gaining exposure to CUDA, GEMM, NCCL, and PyTorch workloads in a

Qualifications

• BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent experience.
• 5+ 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, incl. cross-boundary investigations.
• Ability to own a well-scoped problem and drive it to completion with a technical lead.

Responsibilities

• Developing diagnostic and stress software in C/C++ and Python for complex hardware systems.
• Collaborating 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.

Skills

C/C++

Python

Linux

Diagnostics

Debugging

Hardware interfaces

Education

BS/MS in Electrical Engineering / Computer Engineering / Computer Science

Tools

GDB

CI/CD

Job description

NVIDIA seeks a systems software engineer to craft low-level diagnostic software for next-generation data center GPUs and rack-scale AI systems. You’ll own components from design to field support, collaborating with hardware architects, driver developers, silicon-validation engineers, and manufacturing teams.

You will develop and validate software that exercises hardware, GPUs, memory subsystems, and PCIe/NVLink interfaces, while gaining exposure to CUDA, GEMM, NCCL, and PyTorch workloads in a