NVIDIA

AI, HPC, and accelerated computing

SystemSoftwareEngineer-Tegra

$124–196k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“System Software Engineer - Tegra at NVIDIA. Skills: System Software, Data Center Server Platform Diagnostics, C++, low level / driver level programming, processor architecture. 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”

Industry & Context.

AI, HPC, and accelerated computing
Problems you'll solve

problem-solving skills

What They're Looking For.

Must Have

C/C++ programming skills, object-oriented programming skills, low level / driver level programming, processor architecture fundamentals, problem-solving and debugging skills, communication, interpersonal and planning skills

Nice to Have

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

What You'll Do.

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

hardware qualification

failure analysis and custom platforms

Participating in overall system software architecture

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

How You'll Work.

Team & Collaboration

collaborate with internal software teams to integrate diagnostic components with various system software components; Experience working in teams on large SW project

Communication Scope

communication skills; interpersonal skills

Full Job Description

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. **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. * 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 p

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