Software Integration Engineer

Applied Intuition, a leading vehicle intelligence company trusted by 18 of the top 20 global automakers, is seeking a Software Integration Engineer for their Stuttgart office. This role sits within the Vehicle OS team, working on a flexible suite of products that help vehicle manufacturers develop, deploy, and update complete vehicle software and AI applications.

The position requires a skilled engineer with 3+ years of experience who can champion the delivery of features in their newest product, working across software and hardware integration. The role involves direct customer interaction, cross-functional collaboration with various teams, and deep technical work with embedded systems.

The ideal candidate will have strong software development skills in C++, C, and Python, along with a solid understanding of Linux development and embedded electronic systems. Experience with automotive technologies (CAN, LIN, Ethernet, Simulink, AUTOSAR) is a plus, as is familiarity with CI/CD processes and embedded systems development.

Applied Intuition offers a compelling work environment with their headquarters in Mountain View, CA, and offices worldwide. The company maintains an in-office culture with expectations of working from the office 5 days a week, though they offer some flexibility for occasional remote work. Benefits include lunch and dinner allowance, annual fitness ($600) and learning ($1,000) stipends, and stock options.

The role presents an exciting opportunity to work at the intersection of automotive technology and AI, contributing to systems that are shaping the future of vehicle intelligence. You'll be part of a team that's directly impacting how modern vehicles are produced, working with cutting-edge technology and engaging with major automotive manufacturers worldwide.

This position offers significant growth potential and the chance to work on complex technical challenges while delivering tangible results to customers. The combination of technical depth, customer interaction, and cross-functional collaboration makes this an ideal role for someone looking to make a meaningful impact in the automotive and AI industries.