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NVIDIA

Designs the chips and software that power AI

Principal Firmware Engineer - Server Manageability and Observability

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Deep expertise in scalable and performant server system architecture, focusing on software and hardware interfaces.
  • Extensive experience with complex system software for accelerators, including GPUs, DPUs, and FPGAs.
  • Mastery of system firmware, including SBIOS and OpenBMC, embedded systems, and Linux kernel internals.
  • Proficiency in out-of-band and in-band management architectures; device management protocols including MCTP, PLDM, SPDM, and RDE; and system management protocols including Redfish and IPMI.
  • Extensive knowledge of networking technologies and protocols, including TCP/IP, Ethernet, and InfiniBand, as well as advanced switching and routing concepts.
  • Experience collaborating with platform security experts to define tradeoffs between security and ease of use.
  • Demonstrated success in leading complex, cross-functional projects to completion and influencing and achieving results without direct authority in large-scale, collaborative environments.
  • Demonstrable experience implementing left-shift strategy to de-risk program execution.
  • Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
  • 15+ years of experience in system architecture and design.

Responsibilities

  • Serve as the primary technical point of contact for major customers by leading technological discussions, defining KPIs, gathering requirements, and addressing complex technical queries.
  • As a system software architect, lead technical innovation and strategic collaborations with major hyperscalers to architect next-generation data center products.
  • Align NVIDIA's roadmap with major customers' requirements through direct engagement.
  • Develop and drive adoption of new technologies and protocols.
  • Make critical technical decisions in ambiguous situations and mitigate risks through left-shift strategies.

Desired Qualifications

  • Knowledge of cloud- and cluster-level deployment and management systems.
  • Participation in and contributions to standards bodies such as OCP and DMTF.
  • Familiarity with NVIDIA HPC programming models and libraries, including CUDA, cuDNN, and DOCA.
  • Knowledge of enterprise storage architectures and distributed parallel processing paradigms.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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