Application Software Engineer
Wayve · Tokyo, Japan
Roboticsonsitesenior
At a glance
Highlights
- Bring up and validate AI autonomy stack on customer hardware platforms.
- Bridge AI innovation to production vehicles with major OEM partners.
- Shape integration strategy for autonomy across diverse vehicle platforms.
Ideal candidate
Embedded automotive engineer with 5+ years bringing up systems on real hardware who thrives at the OEM interface. You enjoy ownership, solving system-level issues, and shaping early-stage processes in autonomy.
Requirements
- 5+ years of experience in embedded or automotive software development with platform bring-up
- Strong proficiency in C/C++, Bash, and Python
- Deep understanding of Linux-based embedded systems including Yocto, systemd, bootloaders and device trees
- Familiarity with QNX and Adaptive AUTOSAR and ability to configure and debug on target hardware
- Experience with bring-up on automotive-grade SoCs such as NVIDIA Orin and Qualcomm SA8295/SA8650
- Comfortable with hardware debuggers, flashing tools, serial consoles and board support packages
- Familiarity with CAN, Ethernet, PCIe, SPI and I2C communication protocols
- Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation
Lab profile
About Wayve
London-based AI lab building embodied driving intelligence for autonomous vehicles.
What they build
- Wayve Driver embodied AI driving software
- GAIA generative world models for driving
- LINGO language-grounded driving AI
Known for
- End-to-end embodied AI for driving
- Camera-first, mapless autonomy approach
- Large-scale real-world learning and simulation
Key facts
- Founded in 2017
- Headquartered in London, UK
- Backed by SoftBank Group, NVIDIA and Microsoft
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