Wayve
AI
ApplicationSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Application Software Engineer at Wayve. Skills: Application Software Engineering, Embedded Software Development, Automotive Software Development, AI Software Stack, Platform Bring-up, Linux, QNX, Adaptive AUTOSAR, Automotive SoCs, CI/CD Integration, Test Automation. software bring-up on customer hardware platforms. porting and configuring Linux-based systems, QNX, and Adaptive AUTOSAR environments”
Industry & Context.
lean into complex challenges to unlock groundbreaking solutions; resolve hardware-specific integration issues
What They're Looking For.
Must Have
8+ years of experience in embedded or automotive software development, hands-on platform bring-up experience, 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, ability to configure and debug QNX and Adaptive AUTOSAR 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
Nice to Have
Exposure to automotive verification environments (e.g. , HIL systems, Vector toolchains, custom CI rigs), Experience working in a safety-critical domain, understanding of ISO 26262, understanding of boot-time determinism, understanding of watchdogs, Understanding of secure boot, Understanding of OTA updates, Understanding of system-level cybersecurity topics, Familiarity with Docker, Familiarity with Jenkins, Familiarity with Git, Familiarity with artifact management tools like JFrog Artifactory
What You'll Do.
software bring-up on customer hardware platforms
porting and configuring Linux-based systems
and Adaptive AUTOSAR environments
integrating and validating drivers
and boot-time configurations
integrating hardware into CI/CD
and test infrastructure
resolving hardware-specific integration issues
implementing system-level diagnostics
and secure boot configuration
developing automation for setup
and test execution on target hardware
localising and advancing Wayve’s autonomous driving technology for the German market
How You'll Work.
Team & Collaboration
collaborate closely with cross-functional teams across Verification, Release, and OEM partners; Work with OEM and Tier 1 teams
Full Job Description
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The Role We’re seeking an exceptional Application SW Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the German market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up. In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery. Responsibilities: Execute software bring-up on customer hardware platforms (e. g. NVIDIA Drive, Qualcomm Ride). Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments. Integrate and validate drivers, middleware, and boot-time configurations. Collaborate with Verification & Release
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