What you’ll be doing
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.
What we need to see
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.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 124,000 USD – 195,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
