We are now hiring a Senior 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. Join us at forefront of this new frontier.
What you’ll be doing:
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 debug.
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.
5+ years of industry related 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.
Knowledge of Linux kernel internals.
Experience working in teams on large SW projects
Ways to stand out from the crowd:
Solid understanding of ARM platforms.
Experience in diagnostic software for datacenter and server systems.
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
Understanding of SW product release lifecycle
You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
