채용
필수 스킬
Linux
NVIDIA is the defining technology company of the AI era, driving innovation through exceptional technology and talent. In this role, you will help shape the evolution of NVIDIA’s DOCA Networking software stack – the accelerated infrastructure framework powering AI factories and cloud environments. You will drive software innovation from vision to real-world impact, influencing some of the most advanced computing systems in the world. As part of the DOCA Product Group, you will lead software strategy for ConnectX NIC and Blue Field DPU platforms – key pillars of NVIDIA’s data center and AI networking strategy – helping build the intelligent infrastructure of tomorrow.
What You'll Be Doing:
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Lead the Product-strategy for DOCA networking stack and products across their life-cycle: from vision and inception, through detailed customer & ecosystem requirements, roadmap crafting, market introduction, growing into in-scale delivery, and product improvement cycles.
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Orchestrate a unified technical strategy between AI product teams, engineering teams, and customers to advocate the use of DOCA libraries & microservices, and to develop new DOCA APIs and services for new deployments.
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Drive multidisciplinary engineering and architecture teams to establish priorities and define precise, actionable requirements for breakthrough projects.
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Forge strong partnerships with customers and ecosystem partners - actively listening to their technical needs, delivering expert guidance, and supporting successful, large-scale AI (and other) deployments that drive their strategic goals.
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Create use cases and reference applications to demonstrate product value to technical and executive audiences.
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Gather insights to define future products, including analysis of complementary and competitive products and customer feedback.
What We Need to See:
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BSc/MSc in Computer Science, Communication Engineering, Software Engineering, or equivalent experience.
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12+ years of experience in R&D, architecture, and program management, with primary focus on product management leadership in Data Center Networking with proven track record in defining and driving both inbound and outbound product strategy across complex technologies and cross-functional organizations.
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MBA or similar experience, with a balance of technical and business knowledge.
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Deeply versed in hardware-accelerated networking protocols (RDMA, ETH, and more), technologies (DPDK, OVS, and more), and full Product-solutions in Data Center and Cloud environments.
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Strong ability to deliver complex, Linux-based networking software frameworks and SDKs specifically architected for cloud providers, hyperscalers, and large-scale enterprise deployments.
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Translate global customer and business insights into high-impact networking solutions, bridging the gap between deep technical requirements and long-term strategic goals.
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Proven experience driving vision into reality by navigating complex, global organizational matrices, using exceptional communication to align cross-functional engineering and product teams.
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Highly motivated, fast learner, and a team-player.
Ways to Stand Out from the Crowd:
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Strong background in Data-Centre clusters and topologies, AI-driven networking, storage, security, and orchestration techniques.
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Hands-on experience with networking infrastructure and DPU architecture, programmable networking pipelines, and NVIDIA technologies (CUDA, embedded solutions), with deep platform ecosystem knowledge
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Proven leadership in complex hardware/software systems development, Including: SW, embedded SW, and HW. Supplying complete solutions: from the networking infrastructure, through SDKs and services, and into the application-level.
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Success in partnering with Tier-1 customers on networking and cloud infrastructure deployments.
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Extensive product management experience in international organizations, with a focus on adaptability and cross-cultural collaboration as well as vast experience as a R&D manager, or engineering program manager.
NVIDIA is widely considered one of the technological world’s most desirable employers, and for good reasons. We’re home to some of the most forward-thinking and hardworking people anywhere, all focused on pushing the boundaries of what’s possible. If you’re a creative self-starter who thrives on autonomy and big challenges, this is where your ideas can truly take flight - so we want to hear from you!
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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
73개 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