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.
Physical AI Innovation: Making use of your deep experience with Japanese OEM design philosophies, tailor the roadmap of the Alpamayo reasoning 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.
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.
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.
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.
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 NuRec. Lead the definition of methodologies that catch issues before they happen in production.
University degree, or equivalent knowledge, in Computer Science, Electrical Engineering or related principle.
15+ years of ADAS industry experience, with deep hands-on experience designing and deploying multiple generations of AI-based active-safety solution.
Cross-domain engineering proficiency, covering system software, real-time systems, sensors, as well as end-to-end AI systems.
Experience interacting and building partnerships with technical executives.
5+ years experience in a high-impact leadership position.
Experience building end-to-end autonomous driving solutions based on world foundation models.
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.
Skills Required
- University degree in Computer Science, Electrical Engineering or related field
- 15+ years of ADAS industry experience
- Deep hands-on experience designing and deploying AI-based active-safety solutions
- Cross-domain engineering proficiency in system software and end-to-end AI systems
- 5+ years in a high-impact leadership position
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
