Research Engineer - AI​/RL Infrastructure

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy.

Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
San Diego;
Ft. Walton Beach, Florida;
Ann Arbor, Michigan;
London;
Stuttgart;
Munich;
Stockholm;
Bangalore;
Seoul; and Tokyo.

We are an in‑office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

We are looking for a passionate Research Engineer to join the Research Team at Applied Intuition. This team conducts world‑class research for autonomous systems with applications to autonomous driving and general robotics. You will have access to millions of miles of large‑scale data and industry‑leading simulators and tools to develop cutting‑edge models at scale.

In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industry within our fast‑paced and customer‑focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

• Conduct research on architecture design, robustness, safety, and language modality incorporation for our differentiable stack
• Work closely with Research Scientists and interns on high‑quality research publications to submit to top‑tier conferences
• Collaborate with our ADAS stack engineering team to test and deploy end‑to‑end algorithms for mass production vehicles
• Collaborate with our simulation team to deploy data‑driven generation algorithms for highly efficient and automated tools

• Hands‑on experience with end‑to‑end autonomy, vision‑language‑action model, reinforcement learning, multi‑view perception and ML planner
• A passion for scalable, data‑driven autonomy for real‑world systems
• Strong research skills and the ability to work both independently and collaboratively on projects

• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
• Experience with training with large‑scale data and ML models and/or applying language modality in AV stacks
• Passion for building and shipping customer‑focused software frameworks or tools

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.

Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range…