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Wayve is building an AI platform for autonomous driving that enables vehicles to learn from real-world experience. The Application Software Engineering team bridges AI innovation and production vehicles, working directly with major automotive OEMs to integrate Wayve's autonomy stack into multiple platforms.
In this role, you will be responsible for the bring-up and early validation of Wayve's AI software stack on customer hardware platforms, ensuring reliable performance across diverse SoCs and operating systems. You'll work closely with Verification, Release, and OEM partner teams to ensure smooth integration and dependable delivery.
Key responsibilities include:
- Executing software bring-up on customer hardware platforms (e.g., NVIDIA Drive, Qualcomm Ride)
- Porting and configuring Linux-based systems, QNX, and Adaptive AUTOSAR environments
- Integrating and validating drivers, middleware, and boot-time configurations
- Working with Verification and Release teams to integrate hardware into CI/CD, HIL, and test infrastructure
- Collaborating with OEM and Tier 1 teams to resolve hardware-specific integration issues
- Implementing system-level diagnostics, logging, and secure boot configuration
- Developing automation for setup, flashing, health checks, and test execution on target hardware
- Defining and executing strategy for integrating the autonomy stack into multiple OEM platforms
- Building the team and providing technical leadership across integration work
Wayve operates a hybrid model with main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg. The company offers relocation support and visa sponsorship where applicable, meaningful equity, learning and development budgets, and comprehensive benefits including health insurance, dental, enhanced parental leave, and wellness partnerships.
REQUIREMENTS:
Essential:
- 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
- Deep 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 working 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
Desirable:
- Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs)
- Experience working in safety-critical domains with understanding of ISO 26262, boot-time determinism, and watchdogs
- Understanding of secure boot, OTA updates, and system-level cybersecurity topics
- Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory
