refresh

トレンド企業

トレンド企業

採用

求人NVIDIA

Principal Technical Program Manager - Networking

NVIDIA

Principal Technical Program Manager - Networking

NVIDIA

US, WA, Seattle

·

On-site

·

Full-time

·

2w ago

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you energized by the challenge of bringing order to complexity at the intersection of groundbreaking hardware and the world's most demanding cloud infrastructure? Our NVIDIA Networking team builds the connectivity fabric — ConnectX network interface cards, Blue Field data processing units, and the DOCA software framework — that enables hyperscale cloud providers to deploy GPU clusters at unprecedented scale. We are looking for a Principal Technical Program Manager to lead this work across multiple next-generation GPU platforms. We think this is one of the most impactful program roles in the industry right now! The best program leaders don't just supervise work. They build the infrastructure that makes great execution repeatable. That's exactly what we need here.

What you'll be doing:

This role owns end-to-end networking release readiness across ConnectX and Blue Field product lines. The work spans software and firmware alignment, delivery checkpoint tracking, and feature gap closure. Each hyperscale cloud customer brings distinct architectures, transport choices, and configuration requirements. Keeping all of that organized and moving is the job.

Beyond execution, this role carries real organizational influence:

  • Designing and leading tooling and analytics capabilities that surface actionable program insights for leadership

  • Building a consolidated view of per-customer networking configurations, replacing fragmented per-team tracking

  • Developing program communications tailored for engineering, product, and executive audiences

  • Representing networking requirements in cross-business-unit planning forums

  • Building repeatable frameworks — operating rhythms, issue resolution paths — that outlast any single platform program

What we need to see:

  • Bachelor's degree in Electrical Engineering, Computer Science, or a related field, or equivalent experience

  • 15+ years of technical program management experience owning complex, multi-stakeholder release programs

  • Deep knowledge of data center networking — high-speed interconnects, network interface cards, and surrounding firmware and driver ecosystems

  • Demonstrated experience working with hyperscale cloud customers at scale

  • Ability to build program infrastructure from scratch: tracking systems, reporting frameworks, cross-functional operating rhythms

  • Clear communication skills across engineering, product, and executive audiences

Ways to Stand Out From the Crowd:

  • Hands-on familiarity with ConnectX, Blue Field, or DOCA-based frameworks — or equivalent high-performance networking products

  • Background with Infini Band or RDMA over Converged Ethernet in large-scale GPU cluster deployments

  • Experience leading tooling or analytics teams within a program management function

  • Familiarity with feature backlog governance and plan-of-record management

  • Experience building readiness tracking systems across multiple customer deployment architectures

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

NVIDIAについて

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

従業員数

Santa Clara

本社所在地

$4.57T

企業価値

レビュー

4.1

10件のレビュー

ワークライフバランス

3.5

報酬

4.2

企業文化

4.3

キャリア

4.5

経営陣

4.0

75%

友人に勧める

良い点

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

改善点

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

給与レンジ

73件のデータ

L3

L4

L5

L6

L7

L3 · Product Manager IC2

0件のレポート

$183,722

年収総額

基本給

-

ストック

-

ボーナス

-

$156,163

$211,281

面接体験

7件の面接

難易度

3.1

/ 5

体験

ポジティブ 0%

普通 86%

ネガティブ 14%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

よくある質問

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR