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Machine Learning
At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We are looking for a Developer Relations Manager to work with China industrial/research community to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI for difference sciences domains, Machine Learning and Deep Learning, specifically Generative AI & Agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, focused, self-driven and creative technologist who has the skills and strive to work in a fast-evolving technological environment that is always on the cutting edge of AI and Accelerating Computing. This individual is motivated, skilled in communication and teamwork, stays organized, and prioritizes achieving goals.
Roles will include being a technical business development and accelerated computing platform evangelist to researcher and developer communities. This includes understanding the community requirements, analyzing the technical requests, integrating new or expanding existing solutions, co-architecting and advising on repeatable solutions, jointly scope project requirements for AI4S, GAI, Agentic AI, Physical AI, and understand integrations with the ecosystem, and private/hybrid platforms, etc. Specially, this opening position is for CAE/EDA developer community support.
What you'll be doing:
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Understand China researcher and developer communities, Analyzing the technical requirement, identify needle moving projects.
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Bridge NVIDIA tools with communities' requirements, Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers.
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Deeply understand CAE/EDA software ecosystem and related acceleration and AI approaches.
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Discover new workflows, identify blockers to ISV adoption, and report back to the product teams.
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Drive early adoption of new products and support launch and go-to-market activities.
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Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities.
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We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.
What we need to see:
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BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
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5+ years of work-related experience (EDA especially) in technical leadership role and architecting GPU accelerated computing solutions.
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Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers.
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Strong analytical and problem-solving skills, with deep empathy for developers.
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Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences.
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Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders.
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Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs Agentic AI and Physical AI.
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Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities
Ways to stand out from the crowd:
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Strong CAE/EDA technical background.
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Experience developing CUDA, operations research, AI4S models, robotics research, AI with database research, ML/DL frameworks.
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Background with community managements, OSS community, academic alliance, acceleration computing development, LLM training/inference development, robotics, APIs and Microservices, orchestration platforms, database solutions and data migration techniques.
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Experience and empathy for software engineering and application development.
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 individuals in the world working for us. If you're creative and autonomous, 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
Junior/L3
Mid/L4
Junior/L3 · Analyst
7개 리포트
$170,275
총 연봉
기본급
$130,981
주식
-
보너스
-
$155,480
$234,166
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.
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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.
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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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·
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