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NVIDIA

Designs the chips and software that power AI

NPI PCB Technical Program Manager

Full-Time
$168k - $258.8k/yr+ Equity
Expert
Bachelor's
Santa Clara, CA, USA
In PersonOn-site in Santa Clara, California; remote work not available.
Project & Program ManagementProgram Management
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • 10+ years of recent experience as Project Manager, Materials Manager, or equivalent responsibilities in NPI field.
  • Bachelor’s degree or equivalent experience.
  • Strong technical proficiency in PCB development and manufacturing fundamentals: stack-up, materials (CCL, prepreg), HDI / HLC processes, DFM, impedance, and panel utilization.
  • Proven ability to lead cross-functional teams that are geographically distributed. Able to coordinate with local and offshore suppliers. Skilled at prioritizing competing tasks under high pressure with minimal supervision.
  • Track record of managing multiple concurrent programs with shifting requirements and tight timelines; comfortable owning critical-path schedules and driving risk mitigation.
  • Strong analytical and structured problem-solving skills; able to collect and coordinate large amounts of technical and program data accurately. Able to communicate data at the right level of detail for the audience.
  • Excellent written and verbal communication skills, including the ability to present technical trade-offs and program status to engineering leaders and executives.
  • Practical experience working with SAP PRD and PDP / Windchill (or similar PLM / ERP platforms).
Responsibilities
  • Lead internal and external cross-functional teams (Engineering, SI/PI, DFM, Quality, and PCB/Material suppliers) to complete NPI programs on time, within budget, and according to technical requirements.
  • Own end-to-end technical program management for advanced PCB builds (high-density-interconnect, high-layer-count) – from stack-up review and DFM through pre-order material, fabrication, and delivery to engineering teams.
  • Drive technical decision-making on trade-offs across schedule, cost, yield, and development risk; review stack-ups, impedance, materials, and panel utilization with suppliers and NV design teams.
  • Build and maintain detailed program schedules, critical paths, and risk registers. Lead just-in-time risk-buy strategy and proactively resolve schedule, capacity, and blocking issues with PCB suppliers and internal NV teams.
  • Track and communicate full-path PCB ordering status (order placement through goods receipt) to engineering requesters and leadership; publish clear, data-driven status to executive partners.
  • Define, instrument, and monitor important metrics (cycle time, timely delivery, yield, NPI quality) for internal teams and supplier performance. Drive continuous improvement of tools, workflows, and processes to scale the team’s output.
  • Run technical program reviews, gate meetings, and post-mortems; capture lessons learned and translate them into repeatable playbooks for future NPI programs.
Desired Qualifications
  • Recent experience driving NPI activities on advanced compute, GPU, networking, or AI hardware platforms.
  • Deep hands-on experience with HLC and HDI PCBs, complex multi-supplier builds, and SI/PI or DFM trade-offs.
  • Experience defining program KPIs and building dashboards / automation that scale a global NPI operations team.
  • Hands-on experience leveraging leading-edge AI tools (e.g., Claude, Codex, Cursor) to accelerate program management workflows, automate reporting, and drive productivity gains across cross-functional NPI teams.
  • Ability to thrive in a rapidly changing, highly technical, and multifaceted business environment.

About the company

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, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
  • Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
  • Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.

What critics are saying

  • Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
  • Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
  • Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.

What makes NVIDIA unique

  • Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
  • The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
  • People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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