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. Learn more at applied.co.

We are an in-office company, and our expectation is that full-time 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. This in-office expectation does not apply to contractor positions

About the role

We are looking for a Autonomy Verification engineer with a background in autonomy, autonomous driving and/or ADAS. This engineer will work on performance evaluation of autonomy at the system and module level. This engineer will play a critical role in shaping the technical direction of this project towards measuring autonomy features and autonomous driving.

At Applied Intuition, you will

Develop and execute the system validation strategy for one or more autonomy modules (perception, planning, prediction, localization) for L4 trucking

Build comprehensive and diverse datasets from simulations and real world data

Work closely with systems engineering teams on validation test plans to ensure completeness and coverage across ODD and behavior

Develop statistical and machine learning models to analyze historical and simulation data for safety performance evaluation.

Identify, develop and measure performance metrics and report on performance evaluation

Identify, build and deploy frameworks/pipelines to enable metric generation and evaluation

Support generation of the safety case and release recommendation reports

We're looking for someone who has

3+ years of experience in ADAS or Autonomous driving

MS/BS degree in Robotics, Aerospace, Computer Science, or equivalent required

Experience with scripting and simulation tools

Experience with ADAS, autonomous systems and robotics

Knowledge of existing standards and regulations relevant in the automotive industry, esp. ISO 26262, ISO 21448, UL4600

Knowledge of architectural design of ADAS/AV systems

Mastery of strong collaboration with other teams, customers, and companies to ensure high quality deliverables

Nice to have

Prior work in either autonomous vehicles or ADAS or aerospace

Project management and leadership experience in the AV industry

Experience in the AV and robotics field

Fluency in C++ and/or Python

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.