System Test Engineer, HIL

• Join Wayve's Verification and Release Test team — at the intersection of Hardware, Embedded Software, and Machine Learning Models — helping scale embedded software verification efforts. • Develop automation for system functionality tests at component, integration, and system levels across software and hardware boundaries. • Build open-loop and closed-loop replay HIL tests, reliability and fault-injection tests, and traceability dashboards for verification and release. • Role has the opportunity to expand into sensing and model behaviour testing depending on company needs and individual experience. • Hybrid role based at Wayve's London office.

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

• Experience working with autonomous vehicle systems, ADAS, or related technologies. • Understanding of vehicle networks (CAN, LIN, Ethernet) and diagnostic protocols (UDS, OBD-II). • Knowledge of vehicle instrumentation, data logging, and calibration tools such as Vector tools or dSPACE. • Experience contributing to continuous improvement of test methods, safety procedures, or operational efficiency. • 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. • Automate HIL 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 for rapid, reliable, and repeatable test execution. • Integrate third-party verification tools including JAMA, MC/DC, and MISRA; manage artefacts via Artifactory and Azure. • Define and track KPIs and quality metrics for system testing to support data-driven validation and release decisions. • Identify and implement infrastructure improvements to enhance test coverage, failure traceability, and compliance reporting.

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 at the cutting edge of autonomous driving verification and testing at one of the world's leading Embodied AI companies. • Opportunity to expand into broader system areas including sensing and model behaviour testing. • Hybrid working policy combining in-office collaboration with home working flexibility.

Wayve is the leading developer of Embodied AI technology for autonomous driving. Founded in 2017, Wayve's advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments. Its intelligent, mapless, and hardware-agnostic AI products are designed for automakers worldwide, accelerating the transition from assisted to automated driving.