Application Software Engineer
Wayve · Herzliya, Israel
Roboticsremotesenior
At a glance
Highlights
- Shape Wayve's autonomous driving capabilities for Germany from the ground up.
- Bring embodied intelligence to real vehicles and future billion-machine ecosystem.
- Own early validation of the AI driver learning directly from real-world experience.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity sharing in long-term success
- Relocation support and visa sponsorship where applicable
- Hybrid working with core hours and hands-on workshop time
- Learning and development budgets for training and conferences
- Comprehensive health, dental, parental leave, pension and wellbeing benefits
Ideal candidate
Hands-on embedded automotive engineer with 5+ years bringing up platforms who thrives on hardware debugging and OEM collaboration. Passionate about autonomy and ownership in a fast-moving, still-being-written environment.
Requirements
- 5+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience
- Strong proficiency in C/C++, Bash, and Python
- Strong understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees)
- Familiarity with QNX and Adaptive AUTOSAR environments and ability to configure and debug them on target hardware
- Experience with bring-up on automotive-grade SoCs (e.g. NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI)
- Comfortable with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs)
- Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C
- Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks
- remote policy
- Hybrid working with core hours
- visa sponsorship
- Visa sponsorship and relocation support where applicable
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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