System Test Automation Engineer, HIL
Location: London, United Kingdom
About Us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our 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. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast‑paced environment big problems ignite us— we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
The Role
Wayve’s Verification and Release Test team sits at the intersection of Hardware, Embedded Software, and Machine Learning Models. Testing spans component, system, and vehicle levels, and we pride ourselves on finding the most efficient and effective ways to deliver the most valuable results for the company.
We are looking for a System Test Engineer to join our growing team and help scale our embedded software verification efforts. This role has the opportunity to expand into broader areas of the system — including sensing and model behaviour testing — depending on company needs and the individual’s experience. The ideal candidate is a self‑starter with a sharp eye for improvement across multiple engineering domains.
Key Responsibilities
- 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 (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 to ensure rapid, reliable, and repeatable test execution.
- Integrate third‑party verification tools including JAMA (requirements), MC/DC (coverage), and MISRA (style compliance); manage 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.
About You
Essential Skills & Experience
- 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 (ASPICE, SOTIF, ISO 26262, JAMA, X‑RAY).
- Knowledge of replay using open and closed loop HIL system 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 (e.g., GitLab CI, Buildkite, Bazel).
- Experience with test automation dashboards, logging, and reporting infrastructure (e.g., Grafana, Looker, Datadog, JIRA).
- Experience developing or testing automotive software across embedded and system levels.
- Strong cross‑functional communication skills; ability to work collaboratively across software, hardware, autonomy, DevOps, and product teams.
Desirable Skills & Experience
- Experience working with autonomous vehicle systems, ADAS, or related technologies.
- Familiarity with Python or similar scripting tools for data processing and automation.
- Understanding of vehicle networks (CAN, LIN, Ethernet) and diagnostic protocols (UDS, OBD‑II).
- Knowledge of vehicle instrumentation, data logging, and calibration tools (e.g., Vector tools, dSPACE).
- Experience contributing to continuous improvement of test methods, safety procedures, or operational efficiency.
- Awareness of data management and version control systems (e.g., Git, Jenkins, or similar).
Benefits and Working Arrangement
This is a full‑time role based in our office in London. We operate a hybrid working policy combining time together in our offices and workshops with time spent working from home. The role offers opportunities to work on cutting‑edge autonomy technology and to collaborate with a cross‑functional team.
Commitment to Diversity and Inclusion
Wayve is committed to creating an inclusive interview experience. If you require accommodations, please let us know. We are committed to creating a diverse, fair and respectful culture inclusive of everyone based on unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
Legal Notices
For US candidates only, please visit E‑Verify Notice and Participation and Right to Work.
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non‑discriminatory.
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