System Test Automation Engineer, HIL

• Join the Verification and Release Test team sitting at the intersection of Hardware, Embedded Software, and Machine Learning Models. • Help scale embedded software verification efforts with the opportunity to expand into broader areas of the system including sensing and model behaviour testing. • Test across component, system, and vehicle levels, finding the most efficient and effective ways to deliver the most valuable results.

• Have hands-on experience with system-level verification and validation in robotics, embedded software, or mechatronic systems. • Have previous experience with HiL testing and tooling using CAN, Ethernet, GMSL, dSPACE, Vector, Xylon, or similar. • Have strong proficiency in Python with experience developing automation test frameworks using pytest. • Have proven ability in interface-level testing including hardware/software interactions and embedded interfaces. • Have experience integrating software quality assurance tools and standards such as ASPICE, SOTIF, ISO 26262, JAMA, and X-RAY. • Have knowledge of replay using open and closed loop HIL systems using dSPACE or other emulators. • Be familiar with automotive safety and process standards including ISO 26262, ASPICE, and SOTIF. • Be proficient in CI/CD principles and related tooling such as GitLab CI, Buildkite, or Bazel. • Have experience with test automation dashboards, logging, and reporting infrastructure such as Grafana, Looker, Datadog, or JIRA. • Have experience developing or testing automotive software across embedded and system levels. • Have strong cross-functional communication skills with the ability to work collaboratively across software, hardware, autonomy, DevOps, and product teams.

• Have experience working with autonomous vehicle systems, ADAS, or related technologies. • Have familiarity with Python or similar scripting tools for data processing and automation. • Have understanding of vehicle networks such as CAN, LIN, and Ethernet, and diagnostic protocols such as UDS and OBD-II. • Have knowledge of vehicle instrumentation, data logging, and calibration tools such as Vector tools or dSPACE. • Have experience contributing to continuous improvement of test methods, safety procedures, or operational efficiency. • Have awareness of data management and version control systems such as Git or Jenkins.

• Develop automation for system functionality tests at component, integration, and system levels across software and hardware boundaries. • Develop open-loop and closed-loop replay HiL tests, reliability and fault-injection tests, and traceability dashboards for verification and release. • Automate Hardware-in-the-Loop test setups to support coverage expansion and debug workflows. • Lead root cause investigations for failures identified during test campaigns, collaborating across hardware, software, and DevOps teams. • Optimise CI/CD-integrated test workflows to ensure rapid, reliable, and repeatable test execution. • Integrate third-party verification tools including JAMA, MC/DC, and MISRA, managing artefacts via Artifactory and Azure. • Define and track KPIs and quality metrics for system testing, supporting data-driven validation and release decisions. • Uncover potential software and hardware bugs through increased test coverage and report findings through JIRA. • Identify and implement infrastructure improvements to enhance test coverage, failure traceability, and compliance reporting. • Review, create, and adhere to Risk Assessments to ensure all testing activities are conducted safely and responsibly.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Work in a hybrid model from Wayve's London office. • Join a well-funded company backed by leading investors, founded in 2017 and pushing the boundaries of embodied AI. • Work in an inclusive environment that values diversity and embraces new perspectives.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its 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. The Verification and Release Test team sits at the intersection of Hardware, Embedded Software, and Machine Learning Models, testing across component, system, and vehicle levels.