Principal Application Software Engineer
Wayve · Tokyo, Japan
Roboticsonsiteprincipal
At a glance
Highlights
- Bridge AI innovation and production vehicles for major OEMs.
- Lead bring-up and early validation of AI software on customer hardware.
- Define strategy for integrating autonomy stack into multiple OEM platforms.
Ideal candidate
An experienced embedded automotive engineer who thrives on hands-on hardware bring-up and customer collaboration. You take ownership in ambiguous environments and care about bringing AI to real production vehicles safely.
Requirements
- 8+ years in embedded or automotive software development with platform bring-up experience
- Strong proficiency in C/C++, Bash, and Python
- Deep understanding of Linux-based embedded systems including Yocto, systemd, bootloaders, device trees
- Familiarity with QNX and Adaptive AUTOSAR configuration and debugging on target hardware
- Experience with bring-up on automotive-grade SoCs such as NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI
- Comfortable with hardware debuggers, flashing tools, serial consoles, and BSPs
- Familiarity with CAN, Ethernet, PCIe, SPI, I2C protocols
- Hands-on experience integrating embedded platforms into CI/CD 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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