Designing and developing diagnostic middle-ware and diagnostic applications for NVIDIA SOC and GPU hardware
Architecting and driving new diagnostic software solutions that cater to all phases of the product life cycle - bring up, manufacturing, hardware qualification, failure analysis and custom platforms.
Participating in overall system software architecture and collaborate with internal software teams to integrate diagnostic components with various system software components.
Working closely with ASIC and NPI teams to plan, implement and cater to new product requirements.
Research and evaluating industrial technical standards and drive implementations as needed
What we need to see:
BS/MS in EE/CS or equivalent experience.
2+ years of experience
Strong C/C++ programming skills and object-oriented programming skills.
Experience with low level / driver level programming.
Understanding of processor architecture fundamentals, preferably arm.
Strong problem-solving and debugging skills.
Strong communication, interpersonal and planning skills.
Ways to stand out from the crowd:
Knowledge of Linux kernel internals.
Knowledge of Server / PC system architecture.
Experience in Pre-Silicon / Post-Silicon bringup planning and execution of complex SoCs and platforms
Consistent record of learning new technologies on the job in a time-bound manner.
Experience working in teams on large SW project
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until June 12, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Additional Information
We are now hiring a System Software Engineer to join the NVIDIA's System Software group focusing on Data Center Server Platform Diagnostics. You will join a dynamic crew that builds and maintains software for complex heterogeneous computing systems that power sophisticated server products used in ground breaking of diverse AI, HPC, and accelerated computing workloads. We have some of the best engineers in the world conceptualizing and taking these products to the finish line and these outstanding engineering teams are rapidly growing. If you're a creative software engineer with a real passion for developing products with new technology, we want to hear from you.
Nvidia · Santa Clara, CA