招聘
必备技能
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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关于NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
员工数
Santa Clara
总部位置
$4.57T
企业估值
评价
4.1
10条评价
工作生活平衡
3.5
薪酬
4.2
企业文化
4.3
职业发展
4.5
管理层
4.0
75%
推荐给朋友
优点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
缺点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
薪资范围
73个数据点
L3
L4
L5
L6
L7
L3 · Product Manager IC2
0份报告
$183,722
年薪总额
基本工资
-
股票
-
奖金
-
$156,163
$211,281
面试经验
7次面试
难度
3.1
/ 5
体验
正面 0%
中性 86%
负面 14%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
常见问题
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
新闻动态
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.
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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.
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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.
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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.
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