Test Engineer

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 Test Engineer Teams

We’re seeking an exceptional Test Engineer to join our Germany-based team 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

As a Test Engineer, you'll independently own the design and delivery of automated verification for a defined area of our embedded software stack. You'll build robust, reusable test automation, drive failures to root cause across engineering boundaries, and steadily raise the bar on coverage, reliability, and traceability. This is a hands-on delivery role with room to grow into broader areas of the system including sensing and model-behaviour testing as the company and your experience evolve. The ideal candidate is a self-starter with a sharp eye for improvement across multiple engineering domains.

🧩 What you’ll be working on

• Develop automation for system functionality tests at component, integration, and system levels, across software and hardware boundaries.

• Automate open-loop and closed-loop replay based Tests, reliability and fault-injection tests to support verification, release, coverage expansion, and debug workflows.

• Lead root-cause investigations for failures found during test campaigns, collaborating across hardware, software, and infrastructure teams.

• Optimise buildkite CI/CD-integrated test workflows for rapid, reliable, and repeatable 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 software and hardware bugs through increased test coverage and report findings through JIRA.

• Identify and implement infrastructure improvements that 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.

🙌 You should apply if

Essential Skills & Experience

• Hands-on experience with system-level verification and validation in robotics, embedded software, or mechatronic systems, with a track record of delivering test automation independently.

• Experience with L2+ hands-off, L3, or L4 automated driving systems.

• Knowledge of consumer safety-rating protocols (e.g., Euro NCAP -AEB, LSS/LKA, ADAS scenarios), DCAS regulatory testing (UN R171), and automotive cybersecurity testing and standards (ISO/SAE 21434, UN R155).

• Experience with HiL testing and tooling using CAN, Ethernet, GMSL, dSPACE, Vector, Xylon, or similar.

• Strong proficiency in Python, including developing automation test frameworks with 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 open- and closed-loop HiL replay using dSPACE or other emulators.

• 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; able to work collaboratively across software, hardware, autonomy, DevOps, and product teams.

Desirable Skills & Experience

• Experience with autonomous vehicle systems, ADAS, or related technologies..

• Strong Python Automation and knowledge of dSPACE open and closed Loop HIL based replay Testing

• Experience contributing to continuous improvement of test methods, safety procedures, or operational efficiency.

• Awareness of data management and version control systems (e.g., Git, Buildkite, or similar).

• Familiarity with agentic AI coding tools (e.g., Cursor, Claude Code) and a demonstrated ability to use them to accelerate and optimise test development, debugging, and automation workflows.

🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

More about Wayve:

🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.

Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work 💻- Locations & Flexible Working:

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

🔍 The Interview Process:

Our process is clear and respectful of your time:

• Initial call / recruiter screen (30 mins)

• Competency Interviews [Python Programming, 60mins]

• Deep-dive technical interviews [System Design, Validation & Release, 60mins, Cross Functional Collaboration, 60mins]

• Final interview: [Mission & Values alignment, 30mins].

We’ll always explain the format and work around your availability.

What’s in it for you (Location dependant):