채용
Join the team at the forefront of NVIDIA Agentics, Nemotron Edge Modeling & the Blueprint group. We connect foundational models with real-world applications, enabling advanced Agentic AI across sectors like smart manufacturing, public safety, and healthcare. Our mission is to support high-performance foundation models tailored for edge deployment. We also support NVIDIA Blueprints, which provide customizable, production-ready AI workflows. In addition, we support a team whose focus is to apply agentic AI patterns (autonomous or semi-autonomous AI agents) to security, threat modeling, code and dependency analysis, prompt-injection defenses, taint tracking, and agent red-teaming.
We are looking for a passionate Senior Technical Program Manager to join the journey, with a focus on agentic AI workflow and execution. In this role, you will drive and coordinate cross-functional teams to successfully manage and complete large-scale technical projects from concept to deployment.
What You’ll Be Doing:
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Integral member of Agentic AI workflow and execution
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Lead cross-functional AI initiatives, coordinating between research, engineering, and product teams to deliver agentic AI features and systems.
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Collaborate with engineering on sprint planning, stand-ups, sprint review, and retrospectives.
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Work with engineering and product on shaping the roadmap and providing PORs to help with execution.
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Ensure technical alignment and execution, translating research concepts into production-ready capabilities.
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Establish standards to help improve productivity.
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Manage dependencies and risks across multiple AI projects, ensuring achievements are met, and resources are effectively allocated.
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Use the Jira dashboard to help with various reporting and Confluence to provide program updates to the core and leadership team
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Work closely with the engineering team on various KPIs to improve the overall execution process and deliverables
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Communicate progress and insights clearly to executives and technical stakeholders, anchoring decisions with data and measurable outcomes.
What we need to see:
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Bachelor's degree in Engineering or Computer Science (or equivalent experience) with 8+ years of proven experience in technical program management, ideally in LLM/Agentic AI projects.
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Validated track record leading complex AI initiatives from initial prototype stages to full production.
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Strong technical expertise combined with organizational leadership skills, effectively bridging research and implementation.
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Demonstrated success in prioritizing tasks and fostering alignment across teams, customers, and partners.
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Proficient in Agile methodologies and experienced with Jira, capable of guiding engineering teams in Agile and Scrum practices.
Ways to stand out from the crowd:
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Strong understanding of LLM (Large Language Model) architecture, frameworks (e.g., OpenAI, Anthropic, Hugging Face), and model evaluation.
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Understanding of agentic AI systems — multi-agent frameworks, tool orchestration, and autonomous workflow design.
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Deep curiosity about the frontiers of autonomous AI agents and real-world agent orchestration.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, and Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, 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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 4, 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.
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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.
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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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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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