채용
필수 스킬
Machine Learning
We’re looking for a technical manager to lead a team of Technical Developer Relations leads who lead engagements with startups and software partners building AI agents and generative AI applications for a number of industries. Your mission is to work with your team to identify disruptive startups and software builders building AI agent-powered tools or native LLM/multimodal applications, and show them how NVIDIA’s software platforms can boost performance and inference. The team, including yourself, will work closely with startups, developers, and partners who are creating autonomous AI agents, domain-specific copilots, and intelligent applications.
What you and your team will be doing:
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Act as the technical point of contact for startups and developers who are building native LLM and multi-modal applications or want to add AI Agents to their existing apps.
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Help developers leverage NVIDIA’s tools for Gen AI and LLMs—including Triton Inference Server, TensorRT-LLM, Ne Mo Framework, and CUDA-accelerated pipelines—to optimize model performance and scalability.
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Build and deliver sample applications, tutorials, and technical content that highlight best practices for building with LLMs and agentic workflows.
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Partner with solution architects to benchmark improvements and support performance tuning of LLM deployments across NVIDIA platforms.
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Guide startups through integration with NVIDIA’s Gen AI stack and support their certification in NVIDIA partner programs.
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Represent the company at industry events, in customer meetings, developer meetups, and hackathons—evangelizing our LLM and Agentic AI strategy to technical and industry audiences.
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Gather developer feedback to inform product and roadmap decisions related to LLM inference, training, and deployment tooling.
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Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
What we need to see:
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Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation.
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Experience in verticals/industries with good knowledge and trends in the industry.
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Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.
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You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience.
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6+ overall years of experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities.
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3+ years experience managing a distributed team.
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Able to work independently and possess excellent communication skills to drive customer and internal engagements.
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Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.
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Execute and accelerate strategic decisions
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Ability to effectively deliver value propositions for specific and targeted industries.
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Ensure a positive experience for external customers and partners while working cross functionally within our organization.
Ways to stand out from the crowd:
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Hands-on experience building or optimizing retail or media-specific solutions.
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Proven expertise in influencing and inspiring non-technical, C-level decision-makers.
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Strong industry knowledge; direct experience in Retail, Media & Entertainment in EMEA.
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Familiarity with advanced computing, AI, and/or GPU acceleration platforms including CUDA, Triton and Ne Mo.
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Track record in designing and implementing systems for real-time processing and low-latency decision-making.
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Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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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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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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