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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.
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
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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++
Applied Intuition develops simulation, validation, and development tools for autonomous vehicles and advanced driver-assistance systems used by leading automotive and trucking companies.
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Mid · 5+ years experience
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