Senior System Software Engineer — GPU Diagnostics

NVIDIA Corporation; Durham (NC); On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks a system software engineer to develop low-level diagnostic software for next-generation data center GPUs and rack-scale AI systems. You will own components from design through validation, working with hardware architects, drivers, and field engineers to diagnose difficult system failures.

You will collaborate across compute engines, memory subsystems, PCIe/NVLink and power/thermal behavior, bring up new silicon, and develop tests that isolate hardware issues while expanding

Qualifications

• BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• 12+ 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.

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

Embedded software

Linux

Hardware debugging

Communication

Education

BS or MS in EE/CE/CS

Job description

NVIDIA seeks a system software engineer to develop low-level diagnostic software for next-generation data center GPUs and rack-scale AI systems. You will own components from design through validation, working with hardware architects, drivers, and field engineers to diagnose difficult system failures.

You will collaborate across compute engines, memory subsystems, PCIe/NVLink and power/thermal behavior, bring up new silicon, and develop tests that isolate hardware issues while expanding