NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.

Principal Software Engineer – Manufacturing, Factory

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany Site LinkedIn

Location

California + 3 more

Posted

43 days ago

Salary

$272K - $431.3K / year

Bachelor Degree15 yrs expEnglish

Job Description

• Lead and drive rack-scale/L11 flows for factory and initial data center deployment. • Design and implement end-to-end factory workflows, including firmware flashing sequences, security provisioning, and deployment of software mitigations. • Collaborate with data center architects, ODMs, and OEMs to define factory and data center requirements that ensure efficient and reliable production ramp. • Champion reliability, debuggability and optimization in firmware, diagnostic and deployment tool design. • Drive pre-silicon readiness for factory & manufacturing workflows for rack-scale products. • Mentor architects and engineering teams to grow them into future leaders. • Make key technical decisions even when faced with ambiguity.

Job Requirements

BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience.
15+ years in the area of System architecture and design
Deep experience in designing architecture for scalable and performant server systems, particularly at the SW/HW interface.
Strong understanding of networking technology & protocols (e.g. Ethernet, Infiniband)
Previous experience working with complex system software for accelerators such as GPUs, DPUs, or FPGAs
Expertise in out-of-band and in-band management architectures.
Knowledge of system management protocols such as Redfish and IPMI.
Demonstrable experience in implementing left shift strategy to de-risk program execution.
Excellent written and verbal communication skills.