Full-Time

Senior Customer Technical Program Manager

AI Datacenter

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

Remote

Remote role; occasional on-site visits in Santa Clara, California as needed.

Bachelor's, Master's

Category
Engineering Management (1)
Business & Strategy (1)

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Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 8+ years of program or project management experience in the IT industry.
  • Strong technical background in hardware and/or software engineering, with experience working closely with hyperscalers and their OEM/ODMs on AI factory build-outs.
  • A proven track record of leading complex, global programs from concept through deployment and production.
  • Outstanding program management, communication, and organizational skills, prioritizing the right issues and driving cross-functional alignment.
  • Demonstrated ability to coordinate across global teams and navigate multi-cultural, multinational business environments with ease.
  • Excellent interpersonal skills, with a talent for distilling complex technical concepts for any audience, from engineers to executives.
  • Willingness to travel as required (up to 5%) and a love for fast-paced, dynamic environments.
Responsibilities
  • Define program schedules, deliverables, and key milestones, keeping them tightly aligned with customer and partner requirements.
  • Translate customer requirements into clear, actionable plans across engineering, quality, logistics, and sales. And drive issues to resolution before they become roadblocks.
  • Lead horizontally across cross-functional teams, navigating high-priority critical issues and rallying globally dispersed teams around a shared set of objectives.
  • Serve as the face of NVIDIA to the customer, leading program kick-offs, technical deep dives, design reviews, issue and bug tracking, qualification and validation efforts, and status updates throughout the product lifecycle.
  • Drive program execution from early design through production deployment, ensuring timely delivery, exceptional quality, and customer acceptance.
  • Champion post-deployment sustaining support, acting as case manager for the issues that matter most.
  • Monitor factory production schedules, yields, and blockers, partnering closely with ODMs and contract manufacturers to crush issues and hit operational targets.
  • Communicate program health, risks, and key issues proactively to customers, internal partners, and leadership across Hardware, Software, Operations, Business, Quality, Sales, and Product teams—keeping everyone aligned while moving at full speed.
Desired Qualifications
  • Track record running end-to-end hardware and software product development and datacenter deployment.
  • Prior experience with deploying accelerated computing platform at-scale
  • Strong leadership in matrixed collaboration, conflict resolution, and consensus-building.
  • Proven expertise managing production schedules, optimizing line yields, and resolving complex field quality challenges.
  • Demonstrated success in dynamic, high-growth environments, with proven adaptability to ambiguity, rapid change, and matrixed team structures.

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

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Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA reported $215.9 billion fiscal 2026 revenue, up 65%, on February 25, 2026.
  • The August 10, 2026 Wall Street financing pact opens more buyers for NVIDIA hardware.
  • Nemotron 3.5 Lightning boosts ecosystem lock-in while driving cheap GPU demand.

What critics are saying

  • US Commerce tightened China chip controls again on May 31, 2026.
  • The $500 billion financing push ties growth to GPU resale values and customer defaults.
  • An AI hardware glut from AMD, Huawei, or Chinese foundries crushes collateral and pricing.

What makes NVIDIA unique

  • CUDA remains the default software moat for AI training and deployment.
  • NVIDIA secured SK Hynix as its largest memory partner in June 2026.
  • Vera Rubin and Blackwell keep NVIDIA ahead in rack-scale AI systems.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-3%
CNBC
Aug 12th, 2026
Nvidia taps Wall Street to raise $500B for AI infrastructure buildout

Nvidia has partnered with six US asset managers willing to raise $500 billion to finance AI infrastructure development. The chip giant is positioning AI infrastructure as a new asset class, with the plan hinging on GPUs retaining value over time like traditional hard assets rather than depreciating electronics. The approach carries risks. Ben Emons of FedWatch Advisors warned that Chinese manufacturers could flood markets with low-cost chips, potentially causing hardware prices to collapse and eroding collateral backing billions in private loans. Nvidia also launched Nemotron 3.5 Lightning, its first open-source AI model since CEO Jensen Huang advocated for open models. The lightweight model runs on a single GPU, potentially boosting chip sales by offering cheaper alternatives to proprietary models. Meanwhile, oil prices rose over 6% this week as prospects dimmed for a deal to increase traffic through the Strait of Hormuz.

Yahoo Finance
Aug 11th, 2026
Musk's 10GW SpaceX data centre plan could generate $300B in Nvidia orders or expose dangerous concentration risk

Elon Musk has announced plans to scale SpaceX data centres from 1.4 gigawatts to 10 gigawatts by 2027, working exclusively with NVIDIA hardware. Research firm SemiAnalysis estimates this could generate $150 billion to $500 billion in capital spending. The move could push NVIDIA shares towards $500, building on its $5.42 trillion market capitalisation and 92% data centre revenue share. NVIDIA recently announced a $500 billion financing partnership with Apollo, BlackRock, and other major firms to support AI infrastructure buildouts. However, the proposal creates significant concentration risk. SpaceX would propose capital expenditure rivalling Amazon Web Services and Google combined, whilst being far less profitable. NVIDIA already holds $119 billion in supply commitments. If SpaceX funding tightens or hyperscale customers slow orders, the stock could face substantial downside risk. Meanwhile, AMD has surged 121% year-to-date versus NVIDIA's 17% gain.

Cointime
Aug 11th, 2026
AI startup Trajectory raises $40M at $300M valuation led by Sequoia Capital

AI infrastructure startup Trajectory has raised $40 million at a $300 million post-money valuation, led by Sequoia Capital with participation from Nvidia and Bessemer, according to The Information. The funding comes just two months after the company secured a $15 million seed round at a $115 million valuation. Founded in May by former Google DeepMind researchers Ronak Malde and Michael Elabd, alongside ex-Apple researcher Arjun Karanam, Trajectory focuses on continuous learning technology. The platform transforms user corrections, retries and edits into training signals, enabling AI models to improve after deployment. The company automates this process, allowing enterprises to continuously adjust models, prompts and harnesses based on real usage data. Clay, Decagon and Harvey are currently using or testing the technology.

Yahoo Finance
Aug 11th, 2026
Nvidia develops Nemotron 4 open-source AI model with 1T+ parameters

Nvidia is developing Nemotron 4, a new AI model family aimed at rivaling top open-source models globally, The Information reported. The largest model is expected to have at least 1 trillion parameters, according to employees working on the project. Nvidia has not set a release date, though the model could be ready as early as late autumn. The company has yet to complete final training. Separately, Nvidia unveiled Nemotron 3.5 Lightning for tasks including code review and security monitoring. It also released NeMo Switchyard, an open-source model-routing library. The chip giant is among few major US firms releasing open-source models, which have gained attention as AI costs rise and Chinese models approach capabilities of systems from Anthropic and OpenAI.

CNBC
Aug 11th, 2026
Nvidia releases first open-source AI model after CEO Huang's open letter debut

Nvidia has released Nemotron 3.5 Lightning, its first open-source AI model since CEO Jensen Huang entered the open-source AI debate. The model was developed particularly for autonomous AI agents and will be available on HuggingFace and Nvidia's website. Huang previously argued that open-weight models allow companies greater control, spur competition, and bring down pricing. For Nvidia, open-source AI boosts chip sales, as the models still require GPUs to run. Companies including CodeRabbit and Harvey have tested the model. Nvidia also released NeMo Switchyard software to determine the most appropriate and cost-effective AI model for specific tasks. Nvidia used distillation techniques to give Nemotron 3.5 Lightning capabilities similar to its larger models.