Start Date
Immediate
Expiry Date
11 Nov, 25
Salary
343000.0
Posted On
12 Aug, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Good communication skills
Industry
Information Technology/IT
ABOUT APPLIED INTUITION
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 appliedintuition.com.
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.)
NICE TO HAVE:
As an Engineering Manager on the Data Intelligence team, you’ll lead a world-class group of engineers focused on generating high-quality data to accelerate autonomy development. Your team will work across two key areas: Offline Perception, where we develop scalable perception algorithms to produce high-fidelity ground truth at scale, and Data Curation, where we mine multi-modal fleet data to surface rare and challenging driving scenarios. You’ll help evolve the systems that power our data engine, setting technical direction and team goals that align with our model development, safety, and deployment milestones.