Software Engineer - Embedded Systems

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.

As a Software Engineer - Embedded Systems, you will design, develop and port autonomous software modules across different system-on-chip platforms. You will be an early member of the fast-growing autonomy team in Stuttgart with broad ownership and direct impact on program direction.

You will bring up new embedded hardware and software alongside engineers from machine learning, vehicle applications and Vehicle OS. We move fast and focus on excellence. If you are hands-on and want a multiplying effect on making autonomous vehicles a reality, Applied is the place for you.

• Develop and debug our autonomous stack on embedded compute platforms

• Work closely with machine learning engineers to optimize perception models for embedded performance

• Interface with automotive middleware and communication protocols (IPC, Ethernet, DDS)

• Support vehicle operations, SIL (Software-in-the-Loop) and HIL (Hardware-in-the-Loop) setups

• Leverage AI-accelerated development tools and workflows

• 5+ years of hands-on experience in C/C++ on POSIX and RTOS environments

• Direct experience with automotive SoCs (NVIDIA Orin, Qualcomm Snapdragon Ride or similar)

• Strong low-level understanding of hardware accelerators including encoders, DSPs and GPUs

• Deep knowledge of operating systems, specifically QNX and Linux

• Hands-on experience with microcontrollers, hardware debuggers and flashing interfaces

• Advanced degree (MSc or PhD) in Computer Science, Robotics, Electronics or related fields

• Experience with ADAS or autonomous driving systems

• Machine learning experience, ideally in perception

• Full product cycle experience from first prototype to series production

• Familiarity with ISO 26262, ASIL or MISRA C++