Research Engineer - Simulation

About Applied Intuition

Mountain View, California, United States

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence.

Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at

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.

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Note:

For Epi Sci job openings, fully remote work will be considered by exception.)

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 reconstruction, world model, traffic simulation, physics-based simulation
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
• Collaborate with our simulation tool team to deploy neural simulation and world model

• Hands-on experience with world foundation model, 3D/4D reconstruction and novel view synthesis, traffic simulation, deformable object simulation, with applications to autonomous driving and general robotics
• Passion for building and shipping customer-focused software frameworks or tools
• Strong research skills and the ability to work both independently and collaboratively on projects

• MSc or PhD in machine learning, computer vision and graphics with autonomy and robotics applications or closely related field
• Experience with training with large-scale data and ML models

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 for this full-time position in the location listed is: $158,000 - $304,000 USD annually.

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