Application Software Engineer

Overview

As an Application Software Engineer at Wayve Germany, you will lead bring-up and early validation of our AI software on customer hardware. You will work with cross-functional teams to ensure seamless integration across diverse SoCs and operating systems, from Linux-based systems to QNX and Adaptive AUTOSAR. Your work links hardware, drivers, and CI/CD pipelines to deliver reliable, safe deployments in a fast-growing autonomous driving environment. This role offers hands-on impact in shaping Wayve’s AV capabilities for the German market and broader ecosystem.

Pay / Benefits

• hybrid working
• learning and development budgets
• competitive salaries
• equity
• relocation support and visa sponsorship
• comprehensive benefits including health insurance and maternity/paternity leave

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 teams to integrate hardware into CI/CD, HIL, and test infrastructure
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues
• Implement system-level diagnostics, logging, and secure boot configuration
• Develop automation for setup, flashing, health checks, and test execution on target hardware
• Bring-up and early validation of AI software stack on customer hardware across diverse SoCs and OSs

Key requirements

• 8+ years of experience in embedded or automotive software development
• 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 BSPs
• Familiarity with CAN, Ethernet, PCIe, SPI, I2C
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks

• team collaboration
• problem solving under hardware constraints
• proactive communication
• Linux-based embedded systems (Yocto, systemd)
• QNX and Adaptive AUTOSAR
• autonomous-grade SoCs (NVIDIA Orin, Qualcomm SA8295/SA8650)

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