채용
To realize the promise of enterprise AI, companies need a reliable, full-stack, and performant platform to build upon. On-premise AI Factory solutions require a seamless integration of accelerated computing, networking, and a rich ecosystem of enterprise software. These solutions are only possible through deep partnership with the ISVs who write the software that runs the world's enterprises and the hardware OEMs who build the systems.
NVIDIA is at the forefront of powering this transformation. We partner with the world's leading software and hardware companies to deliver best-in-class AI platforms. To accelerate this mission, we are seeking a highly technical and strategic product manager to lead our solution architecture and engagement with ISV and OEM partners. We need a visionary who can define the technical blueprint for differentiated partner solutions and guide the long-term roadmap. We're looking for the rare blend of deep architectural expertise and strategic product skills. If this sounds like you, we would love to learn more about you!
What You'll be Doing:
-
Define and drive the product strategy for on-prem AI Factory solutions, delivered through our ecosystem of ISV and OEM partners.
-
Architect and design differentiated, full-stack solutions by defining how our software is integrated into partner software offerings and hardware platforms.
-
Engage deeply with strategic partners, including leading enterprise software vendors (ISVs) and major server manufacturers (OEMs), to align on joint roadmaps and go-to-market priorities.
-
Develop and maintain clear reference architectures that serve as the foundation for partners to efficiently build, certify, and ship powered enterprise solutions.
-
Guide the end-to-end hardware and software lifecycle for certified partner solutions, ensuring alignment between our roadmap and partner product launches.
-
Create and execute strategies to drive the adoption and activation of our software components through the partner ecosystem.
What We Need to See:
-
A BS or MS degree in Computer Science, Computer Engineering, or a similar field, or equivalent experience.
-
8+ years of experience in product management, solutions architecture, or partner engineering at a technology company.
-
Proven experience working with enterprise software vendors (ISVs) and/or major hardware OEMs in a product or technical partnership capacity.
-
Deep understanding of enterprise hardware development, validation, and certification cycles.
-
Outstanding ability to define software architectures and translate their value into differentiated, full-stack accelerated hardware and software solutions for partners.
-
Strong communication, relationship management, and interpersonal skills, with a talent for navigating large partner organizations.
Ways to Stand Out from the Crowd:
-
Direct experience architecting solutions with enterprise AI software platforms.
-
Pre-existing relationships within the product management or engineering teams at strategic ISVs or key server OEMs.
-
Experience with major enterprise software certification programs for platforms like Kubernetes, virtualization, or data analytics.
-
Proven understanding of the enterprise data center, including server architecture, networking, storage, and cloud-native application design.
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. If you're creative and a self-starter, 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 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 7, 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.
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고

Macro Strategy Research, Vice President
State Street · 2 Locations

Technical Product Manager - Cloud Technology OT
GE Vernova · 2 Locations

Portfolio Manager Shared Function
Kimberly-Clark · 2 Locations

Digital Business Manager, Broadband
T-Mobile · 2 Locations

Vice President, Product Owner
Wells Fargo · 2 Locations
NVIDIA 소개

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
직원 수
Santa Clara
본사 위치
$4.57T
기업 가치
리뷰
4.1
10개 리뷰
워라밸
3.5
보상
4.2
문화
4.3
커리어
4.5
경영진
4.0
75%
친구에게 추천
장점
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
단점
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
연봉 정보
47개 데이터
L3
L4
L5
L6
L7
L3 · Product Manager IC2
0개 리포트
$183,722
총 연봉
기본급
-
주식
-
보너스
-
$156,163
$211,281
면접 경험
7개 면접
난이도
3.1
/ 5
경험
긍정 0%
보통 86%
부정 14%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
자주 나오는 질문
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
뉴스 & 버즈
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago