Software Engineer - Active Safety
Applied IntuitionStuttgart, Baden-Württemberg, GermanyPosted 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.
About the role
We are looking for bright engineers interested in designing elegant solutions to difficult problems in the autonomy space. Your contributions will focus on building out capabilities of an autonomous vehicle stack, including necessary enablement work on the infrastructure- and vehicle-side. At Applied Intuition, we encourage engineers to take ownership over technical and product decisions, interact closely with users customers to collect feedback, and contribute to a thoughtful, dynamic team culture.
In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!
At Applied Intuition, you will:
Build own active safety functionalities, like Automatic Emergency Braking, Lane Keep Assist, Intelligent Speed Assist and more
Make fast and structured progress using our own simulation and data tooling, tracking and improving KPI over a vast set of virtual tests as well as a very large real world data set
Test your functions hands on in our test vehicles on test track and public road
Work closely with our simulation and data tooling experts, expediting function development using our proficient tooling even more
Work closely with your team members focusing on parking and L2++, to share common components, tooling and data processes
Have direct customer contacts and exposure
Have an unparalleled opportunity to work at one of the highest paced silicon valley companies, learn grow with a world class team, and contribute to the growth of our SDS solutions in Europe and for our European customers
We're looking for someone who has:
4+ years of experience shipping software for driver assistance and automated driving
Proficiency in writing C++ and Python software
Demonstrated ability to be a self-starter and can quickly become comfortable with new technical concepts and tools
Experience shipping your ADAS/ AD software and solutions into series production vehicles, including required work on requirements, structured testing and implementing SW at automotive series quality
Proven ability to take initiative in a fast-paced environment
Nice to have:
Series project experience with Active Safety functions like AEB, LKA, etc
Experience with world-wide regulation and standards relevant for driver assistance
Experience working hands-on on prototype vehicles
Experience working with s ... (truncated, view full listing at source)
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