Full-Time

Technical Program Manager

GPU Floorplanning

Posted on 5/9/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$168k - $322k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

In Person

Category
Business & Strategy (1)
Requirements
  • Bachelor’s degree in Electrical Engineering, Computer Engineering or equivalent experience.
  • 10+ years of relevant working experience.
  • Strong program or technical project management experience in complex hardware or silicon development programs.
  • Proven ability to manage highly interdependent, multi‑threaded execution across multiple partners.
  • Sufficient technical depth to understand and engage on topics such as SoC architecture, physical design flows, floorplanning, or chip integration (not hands‑on implementation, but informed judgment).
  • Excellent written and verbal communication skills, with the ability to synthesize complexity into clear status and decisions.
Responsibilities
  • Own and drive end‑to‑end execution tracking for large‑scale GPU / SoC floorplan programs across multiple dies and chiplets.
  • Build and maintain integrated program views spanning breakthroughs, dependencies, risks, and cross‑team interactions.
  • Ensure plans from multiple chiplet / die owners roll up into a cohesive, executable project‑level view.
  • Partner closely with floorplan and technical leads to identify, track, and prioritize critical technical issues impacting area, wiring, timing, and schedule.
  • Proactively identify execution risks, misalignment, and early warning signals across the program.
  • Drive structured risk reviews and mitigation planning, ensuring issues are visible early rather than discovered late.
  • Serve as a primary coordination point between floorplan and partner teams including architecture, RTL, PD, DFT, package, design, and tooling.
  • Improve the quality, consistency, and predictability of interactions across teams.
  • Help rationalize and mature program management processes as programs grow in size and complexity.
  • Champion better tooling, dashboards, and structured ways of working that reduce overhead on technical leads.
Desired Qualifications
  • Prior experience supporting floorplan, physical design, chip integration, or early silicon planning teams.
  • Experience working on multi‑die, chiplet‑based, or large SoC programs.
  • Ability to operate effectively in environments with incomplete data, evolving requirements, and tight milestones.
  • Strong judgment in prioritization - knowing when to push, when to call out, and when to unblock quietly.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Agentic AI adoption at scale drives major inflection in inference demand globally.
  • Jensen Huang projects $3T-$4T global AI factory buildout through 2030.
  • Data centre networking revenue surged 263% YoY to $10.98B in Q4 FY2026.

What critics are saying

  • Nemotron 3 open weights enable AMD and Intel to replicate NVIDIA's software moat.
  • Insider selling over three months signals executive doubt about sustaining 73% growth.
  • $30B OpenAI investment exposes NVIDIA to catastrophic losses from governance collapse.

What makes NVIDIA unique

  • Vera Rubin launching July 2026 reduces inference token costs tenfold versus Blackwell.
  • Nemotron 3 Nano Omni achieves 9x higher throughput on consumer hardware like RTX 4090.
  • Clear datacenter product roadmap extends through 2028 with Feynman arriving in 2028.

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Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
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