ICCV 2025 - Apply Here!

About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 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, 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. (Note : For EpiSci job openings, fully remote work will be considered by exception.)

International Conference on Computer Vision (ICCV) 2025

We're so happy you're involved in ICCV this year! We're always looking for more AI Research Scientists, Research Engineers, Machine Learning Engineers, & Software Engineers to join our AI research & engineering efforts. We're advancing E2E autonomy, perception, world modeling, & simulation systems that bridge research & production in autonomous driving (more here). You'll work in small, fast moving teams to design & deploy autonomy capabilities for real vehicles on real roads.

Our AI Research team, led by Chief Scientist Dr. Wei Zhan, is comprised of members hailing from top autonomy / robotics companies & academic institutions (Stanford, CMU, Waymo, Cruise, Deeproute.ai, etc.) with 200+ publications in top conferences / journals,12K+ citations, and 7 best paper awards (including CVPR 2023 Best Paper, UniAD).

If you're interested in learning more about opportunities that match your skillset here at Applied, please apply below. Our recruiting team will reach out if there's a fit.

We're looking for people who are :

• Passionate about the future of autonomy & AI
• Deeply involved in research efforts in E2E autonomous driving, world modeling, 3D reconstruction, simulation, & robotics
• Experienced in productionizing self-driving software for on-road or off-road use cases

Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.