Systems Engineer, Perception - Autonomy Trucking

Applied Intuition
Sunnyvale, California, United StatesPosted 26 March 2026

Job Description

About Applied Intuition 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 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. Hear from our Engineers: About the role We are looking for a Perception Systems Engineer with an automotive background in ADAS and/or autonomous driving. This engineer will define and manage the perception subsystem requirements as well as evaluate its safety and performance for autonomous driving at scale. This engineer will play a critical role in shaping the technical direction of this project in the automotive industry space.. At Applied Intuition, you will: Design, monitor and manage full subsystem-level requirements for full perception requirements and evaluate the subsystem to ensure that the it meets intended requirements Support tools development to derive perception requirements from stakeholder needs and safety case to meet program level standards Work with the team to develop and manage scalable VV pipeline for perception to evaluate performance and support release Coordinate with perception SW team to align on requirements Work with HW teams on designing the perception sensor set and hardware Provide clear goals for all areas of a project and manage tasks to oversee their timely execution We're looking for someone who has: 3+ years of experience in a system engineering role responsible for owning system requirements, testing systems for verification, and designing system requirements in the automotive industry Experience in working on perception systems Expertise in different sensor modalities used for autonomous driving Coding expertise developing scripts for overall perception requirements framework and evaluation (python preferred, C++ nice to have) MS/BS degree in Computer Science, Mechanical, Systems Engineering or equivalent Expertise in mechanical, electrical, and software engineering Experience with ADAS, autonomous systems, and robotics (L2++ systems) Nice to have: Project management and leadership experience in the AV industry Research experience in the AV and robotics fields 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 ... (truncated, view full listing at source)
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