NVIDIA

Semiconductor

SeniorTechnicalProgramManagerLPUSilicon

$168–322k 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

“Senior Technical Program Manager – LPU Silicon at NVIDIA. Skills: Technical Program Management, Silicon Development, Hardware Systems, AI Chip Architectures. lead complex, cross-functional programs that develop Nvidia's next-generation LPU (Language Processing Unit) silicon from concept to production. manage execution across multiple fields, balancing performance, power, and area (PPA) goals while ensuring timely, high-quality delivery”

What You'll Achieve.

ensure timely, high-quality delivery; optimize performance and efficiency in datacenter deployments; impact silicon yields, system reliability, or production ramps

Industry & Context.

Semiconductor
Problems you'll solve

resolving challenges; Proactively identify, track, and drive mitigation plans for technical, schedule, supply chain, and quality risks

What They're Looking For.

Must Have

10+ years of Technical program management in Semiconductor, Hardware System development, ideally in AI domains, B. S. in Electrical Engineering, Computer Science or a related technical field, or equivalent experience., Have hands-on experience with either logic build, design verification, or physical develop, including taping out at least one chip of significant complexity, Demonstrated ability to build, maintain, manage complex programs involving multiple technical teams using both ASIC and COT silicon development paradigms, Demonstrated experience working with external vendors (foundries, IP, etc. ), including negotiation of deadlines, holding all parties accountable, etc., Understanding of semiconductor technologies, methodologies to speak with engineers in their own language, Experience in managing silicon product cycle from concept to delivery and understanding of hardware and software integration challenges, Experience with project & program management tools and methodologies (e. g. , Linear, Waterfall, JIRA)

Nice to Have

ideally in AI domains

What You'll Do.

cross-functional programs that develop Nvidia's next-generation LPU (Language Processing Unit) silicon from concept to production

manage execution across multiple fields

balancing performance

and area (PPA) goals while ensuring timely

high-quality delivery

and communicate effectively in a dynamic

fast-paced environment

and maintaining momentum across Nvidia’s silicon programs

ensure timely execution of silicon deliverables with quality

Drive and manage end-to-end projects involving the Silicon build

Systems bring up and performance testing

Draw upon your silicon engineering experience to provide deep technical mentorship on AI chip architectures

and thermal management to optimize performance and efficiency in datacenter deployments

and drive mitigation plans for technical

and quality risks that could impact silicon yields

How You'll Work.

Team & Collaboration

Work closely with teams in architecture, logic development, verification, physical development, packaging, and foundry.; Collaborate with Silicon, Hardware Systems, Validation, Software Engineering, Product Management, Operations, and other cross-functional teams to ensure alignment on technical specifications, project goals, and deliverables; Work with engineers and engineering managers; Cross-Functional Coordination and Technical Mentorship; Provide Programmatic guidance, mentorship, and foster a culture of execution within Silicon and HW System teams

Communication Scope

communicate effectively in a dynamic, fast-paced environment; Drive communication internal and external to the engineering teams including leadership reviews, Core team meetings, etc.

Process & Methodology

Technical program management, manage complex programs, project & program management tools and methodologies, Linear, Waterfall, JIRA, Silicon build, Systems bring up, performance testing, technical specifications, project goals, deliverables, performance, power, area (PPA) goals, timely, high-quality delivery, technical depth, plan, coordinate, communicate effectively, aligning partners, resolving challenges, maintaining momentum, identify, track, drive mitigation plans, technical risks, schedule risks, supply chain risks, quality risks, silicon yields, system reliability, production ramps, Programmatic guidance, mentorship

Full Job Description

NVIDIA is looking for a Technical Program Manager to join our hardware team! As a Senior Silicon Development Technical Program Manager (TPM), you will lead complex, cross-functional programs that develop Nvidia's next-generation LPU (Language Processing Unit) silicon from concept to production. You will work closely with teams in architecture, logic development, verification, physical development, packaging, and foundry. You will manage execution across multiple fields, balancing performance, power, and area (PPA) goals while ensuring timely, high-quality delivery. This role demands both strategic oversight and technical depth, requiring you to plan, coordinate, and communicate effectively in a dynamic, fast-paced environment. You will play a key part in aligning partners, resolving challenges, and maintaining momentum across Nvidia’s silicon programs. The ideal candidate is hands-on, adaptable, and deeply collaborative—driven by the opportunity to turn bold engineering visions into reality. **What you 'll be doing:** * Work with engineers and engineering managers to ensure timely execution of silicon deliverables with quality * Lead Programs: Drive and manage end-to-end projects involving the Silicon build, development, post Si validation, Systems bring up and performance testing * Cross-Functional Coordination and Technical Mentorship: Collaborate with Silicon, Hardware Systems, Validation, Software Engineering, Product Management, Operations, and other cross-functional teams to ensure alignment on technical specifications, project goals, and deliverables * Technical Expertise: Draw upon your silicon engineering experience to provide deep technical mentorship on AI chip architectures, interconnects, memory hierarchies, and thermal management to optimize performance and efficiency in datacenter deployments * Communications: Drive communication internal and external to the engineering teams including leadership reviews, Core team meetings, etc. * Proactively identif

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