Application Software Engineer

About the role

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

🛠️ About our Application Software Teams

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.

🧠 Your day-to-day

- 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.

- Support other teams in porting and configuring our applications over Linux-based systems/ QNX/Adaptive AUTOSAR environments.

🧩 What you’ll be working on

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.

🙌 You should apply if

In order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience.

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.

- Strong understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).

- Familiarity with QNX and Adaptive AUTOSAR environments and the 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.