Software Engineer - Embedded Systems
Applied Intuition· Self-Driving Systems
StuttgartFull-timePosted 3mo ago
About the role
Embedded systems software engineer role focusing on designing, developing and porting autonomous software modules across different SoC platforms, with early team member impact in Stuttgart.
Responsibilities
- 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
Qualifications
- 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
Skills
Required:C/C++ programmingAutomotive SoCsLow-level hardware accelerationOperating systemsEmbedded debugging
Benefits
- 30 days of paid vacation per year
- Daily meal benefits: €19 lunch budget and €19 dinner budget, free breakfast, snacks, and drinks in the office
- €965 annual learning & development budget and €580 annual fitness budget
- Subsidized Wellpass membership for gym access
- €25 monthly Deutschlandticket contribution for regional public transport
- Generous parental leave on top of statutory parental leave
Last updated Oct 11, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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