채용

Principal Engineer, Autonomous Vehicles and Physical AI Solutions
Japan, Tokyo
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On-site
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Full-time
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2w ago
We are looking for a Principal Engineer to join our Autonomous Vehicles and Physical AI Solutions team. In this high-impact role, you will be the technical authority for our most strategic automotive and robotics partnerships in Japan. You will bridge the gap between NVIDIA’s full-stack technologies—including DRIVE AGX Thor, Hyperion Platform, DRIVE OS, Halos OS, Alpamayo and Cosmos world foundation models—and the production-grade requirements of Japanese and global OEMs.
The role is ideal for candidates who enjoy working at the intersection of artificial intelligence, full-stack system optimization and safety architecture in the technical dimension, but also feel comfortable interacting with top-level technical decision makers to influence and assist selecting the right solutions that meet long-term objectives.
What you'll be doing:
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Physical AI Innovation: Making use of your deep experience with Japanese OEM design philosophies, tailor the roadmap of the Alpamayoreasoning VLA model to become the perfect fit for the Japanese market. The solutions will unify synthetic world generation and physical reasoning, and enable vehicles to process natural language instructions and navigate complex long-tail scenarios.
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Architectural Stewardship: Build the engineering alignment for success of strategic automotive customer partnerships around the NVIDIA DRIVE architecture. You will facilitate alignment between customer requirements and NVIDIA's technical offerings, covering all layers from system software, safety architecture, embedded AI solutions, development and validation tools, as well as cloud solutions.
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Industry Advocacy & Standardization: Represent NVIDIA at Japanese industry forums, technical committees, and regulatory bodies to influence the evolution of standards for functional safety and Physical AI certification. Evangelize NVIDIA’s technology leadership at major industry events, fostering a robust ecosystem of partners around the DRIVE Hyperion platform, Halos OS, and the Alpamayo and Cosmos model families.
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Strategic Partnerships: Serve as the technical authority for strategic RFI and RFQ engagements, aligning customer roadmaps with NVIDIA’s full-stack Physical AI solutions. You will define the technical vision for high-profile software deployments, transforming fragmented partner inputs into cohesive architectural blueprints featuring Alpamayo reasoning models and Halos OS to ensure a seamless transition from concept to final product.
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Engineering Excellence: Establish standards for scaling physical AI production deployment, incorporating deterministic real-time design principles, observability features, as well as high-fidelity simulation environments using Omniverse Nu Rec. Lead the definition of methodologies that catch issues before they happen in production.
What we need to see:
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University degree, or equivalent knowledge, in Computer Science, Electrical Engineering or related principle.
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15+ years of ADAS industry experience, with deep hands-on experience designing and deploying multiple generations of AI-based active-safety solution.
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Cross-domain engineering proficiency, covering system software, real-time systems, sensors, as well as end-to-end AI systems.
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Experience interacting and building partnerships with technical executives.
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5+ years experience in a high-impact leadership position.
Ways to stand out from the crowd:
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Experience building end-to-end autonomous driving solutions based on world foundation models.
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Experience contributing to all layers of production ADAS systems.
We recognize that candidates bring diverse backgrounds, experiences, and strengths, and not every candidate will meet every qualification listed above. If you are excited about advancing self-driving technology and believe you can make a meaningful impact, we encourage you to apply.
NVIDIA is leading the way in groundbreaking developments in artificial intelligence, high-performance computing and visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great engineers and scientists to help us accelerate the next wave of artificial intelligence.
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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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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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