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Wayve

End-to-end autonomous-driving software for vehicles

Application Software Engineer - Embedded Software C++

Embedded EngineeringUpdated on Nov 9
Full-time

About the Job

Requirements

  • At least 8 years of experience in embedded or automotive software development, ideally including hands-on platform bring-up experience.
  • Strong proficiency in C, C++, Bash, and Python.
  • Deep understanding of Linux-based embedded systems, including Yocto, systemd, bootloaders, and device trees.
  • Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  • Experience bringing up automotive-grade systems-on-chip, such as NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, or TI.
  • Comfort using hardware debuggers, flashing tools, serial consoles, and board support packages.
  • Familiarity with CAN, Ethernet, PCIe, SPI, and I2C.
  • Hands-on experience integrating embedded platforms into continuous integration and continuous delivery pipelines and test automation frameworks.

Responsibilities

  • Execute software bring-up on customer hardware platforms, including NVIDIA DRIVE and Qualcomm Ride, by porting and configuring Linux-based systems, QNX, and Adaptive AUTOSAR environments.
  • Integrate and validate drivers, middleware, and boot-time configurations, working with OEM and Tier 1 teams to resolve hardware-specific integration issues.
  • Collaborate with Verification and Release teams to integrate hardware into continuous integration and continuous delivery, hardware-in-the-loop, and test infrastructure.
  • 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 perform early validation of the AI software stack on customer hardware platforms across embedded operating systems, drivers, middleware, and boot-time configurations.
  • Connect hands-on platform integration with automated testing and release infrastructure to help teams diagnose issues, validate changes, and deliver software reliably.

Desired Qualifications

  • Exposure to automotive verification environments, such as hardware-in-the-loop systems, Vector toolchains, or custom continuous integration rigs.
  • Familiarity with Docker, Jenkins, Git, and artifact management tools such as JFrog Artifactory.
  • Experience in a safety-critical domain, including ISO 26262, boot-time determinism, and watchdogs.
  • Understanding of secure boot, over-the-air updates, and system-level cybersecurity.

About the Company

Wayve

End-to-end autonomous-driving software for vehicles

Wayve provides end-to-end autonomous-driving software for automakers and fleets that runs entirely on onboard compute and sensors, without relying on HD maps or city-by-city engineering. The system uses foundation models capable of zero-shot driving and has demonstrated ability to drive across 500+ cities in Europe, North America, and Japan. Unlike traditional AV stacks that depend on mapped data and per-city customization, Wayve aims to generalize driving with its onboard AI across diverse environments. Its goal is to scale commercial robotaxi trials from 2026 and bring supervised autonomy to consumer vehicles from 2027, backed by substantial funding partnerships to support rapid deployment.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.6B
Headquarters
London, United Kingdom
Founded
2017

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