Senior System Software Engineer: Diagnostics & Hardware Validation

NVIDIA AI; Durham (NC); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in the United States is seeking a senior system software engineer to lead technically and own key parts of our low-level diagnostic software that supports next-generation data center GPUs and rack-scale AI systems.

The role is hands-on, involving architecture, implementation, debugging, and mentoring a team across hardware architects, driver developers, silicon-validation engineers, and manufacturing to bring up new hardware and diagnose difficult system failures.

Qualifications

• 12+ years of experience in embedded software, firmware, Linux device drivers, or systems software.
• Experience providing technical leadership for a complex software component or project.
• Strong programming skills in C and C++, plus working proficiency in Python.
• Extensive experience developing software that interacts with hardware, firmware, device drivers, or other low‑level interfaces.

Responsibilities

• Architect and develop diagnostic and stress software in C/C++ and Python for complex hardware systems.
• Lead development efforts across multiple engineers, breaking ambiguous problems into actionable work, and mentoring engineers in low-level software development and debugging.
• Interfacing with hardware blocks, firmware, Linux device drivers, registers, telemetry, and low-level debugging tools.
• Assessing new hardware features and defining effective diagnostic and stress strategies for engineering validation, manufacturing, product qualification, and field use.

Skills

C/C++

Python

Embedded software

Technical leadership

Linux device drivers

Hardware validation

Education

BS or MS in Electrical/Computer Engineering or Computer Science

Tools

PCIe

NVLink

GEMM

NCCL

CUDA

Job description

NVIDIA in the United States is seeking a senior system software engineer to lead technically and own key parts of our low-level diagnostic software that supports next-generation data center GPUs and rack-scale AI systems.

The role is hands-on, involving architecture, implementation, debugging, and mentoring a team across hardware architects, driver developers, silicon-validation engineers, and manufacturing to bring up new hardware and diagnose difficult system failures.