About the role

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.

At Applied Intuition, you will:

• 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

We're looking for someone who has:

• 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

Nice to have:

• 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++