NVIDIA

HSIOFunctionalandPowerManagementEngineer

$168–311k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“HSIO Functional and Power Management Engineer at NVIDIA. Skills: HSIO, Functional and Power Management, high-speed IOs, NVLink, NVLink-C2C, power optimizations, energy efficiency, interoperability, debug. Contribute to the design of the next generation of high-speed IOs, including NVLink and NVLink-C2C. Responsible for IO power optimizations and continuing to push energy efficiency”

Industry & Context.

Problems you'll solve

Deep dive into technically challenging HSIO bugs

What They're Looking For.

Must Have

BS or MS degree in EE/CE or equivalent experience, Minimum 10 years working on HSIO with the following capacity - power management, use case analysis, perf/power modeling, bringup, and/or debug, Experience with system-level and interconnect power management optimizations, Silicon and platform-level power modeling for active/idle use cases, Understanding of firmware/driver structures and their interaction with HW, EE fundamentals, knowledgeable in computer architecture, high-speed interfaces, timing analysis, process variations, statistical error rates, power analysis

Nice to Have

Ownership and working experience in some of the following areas, Track record of influence, leadership, and collaboration across multiple teams towards a unified goal

What You'll Do.

Contribute to the design of the next generation of high-speed IOs

including NVLink and NVLink-C2C

Responsible for IO power optimizations and continuing to push energy efficiency

Ensure interoperability with connected devices and system components in complex interconnect topologies

Deep dive into technically challenging HSIO bugs and help drive debug efforts across various teams

How You'll Work.

Team & Collaboration

Work closely and proactively with other engineering teams such as system architects, mixed signal and design, DGX, software/firmware, HW/SW QA, operations, and AE teams to drive design, development, debug, and release of next-generation products; collaboration across multiple teams towards a unified goal

Full Job Description

NVIDIA Silicon Co-Design Group is seeking a versatile engineer to be part of the HW ArchDev team. The SSG team is uniquely positioned to have an end-to-end view of the product development cycle - from early arch definition, through bringup, to product release. Our ArchDev arm is a hub for all silicon and system-level feature development, cost-benefit analysis, system integration solutions, and system POR alignment. As a member of this team, you will dive into next-gen high-speed interconnects like NVLink and NVLink-C2C to make advancements in efficiency and stability. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting product lines ranging from artificial intelligence to consumer graphics to self-driving cars and more. **What you’ll be doing:** * Contribute to the design of the next generation of high-speed IOs, including NVLink and NVLink-C2C. * Responsible for IO power optimizations and continuing to push energy efficiency. * Ensure interoperability with connected devices and system components in complex interconnect topologies * Deep dive into technically challenging HSIO bugs and help drive debug efforts across various teams * Work closely and proactively with other engineering teams such as system architects, mixed signal and design, DGX, software/firmware, HW/SW QA, operations, and AE teams to drive design, development, debug, and release of next-generation products. **What we need to see:** * BS or MS degree in EE/CE or equivalent experience * Minimum 10 years working on HSIO with the following capacity - power management, use case analysis, perf/power modeling, bringup, and/or debug. * Ownership and working experience in some of the following areas: * Experience with system-level and interconnect power management optimizations * Silicon and platform-level power modeling for active/idle use cases * Understanding of firmware/driver structures and their interaction with HW. * Track record of influence,

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