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Wayve

End-to-end autonomous-driving software for vehicles

Test Engineer

Test Automation EngineeringUpdated on Nov 9
Full-timeLeonberg, Germany

About the Job

Requirements

  • Hands-on experience with system-level verification and validation in robotics, embedded software, or mechatronic systems, including independently delivering test automation.
  • Experience with L2+ hands-off, L3, or L4 automated driving systems.
  • Knowledge of consumer safety-rating protocols, including Euro NCAP AEB, LSS/LKA, and ADAS scenarios; DCAS regulatory testing under UN R171; and automotive cybersecurity testing and standards, including ISO/SAE 21434 and UN R155.
  • Experience with hardware-in-the-loop testing and tooling using CAN, Ethernet, GMSL, dSPACE, Vector, Xylon, or similar tools.
  • Strong proficiency in Python, including developing automated test frameworks with pytest.
  • Ability to conduct interface-level testing, including hardware/software interactions and embedded interfaces.
  • Experience integrating software quality assurance tools and standards, including ASPICE, SOTIF, ISO 26262, JAMA, and X-RAY.
  • Knowledge of open- and closed-loop hardware-in-the-loop replay using dSPACE or other emulators.
  • Proficiency in continuous integration and continuous delivery principles and related tools, such as GitLab CI, Buildkite, and Bazel.
  • Experience with test automation dashboards, logging, and reporting infrastructure, such as Grafana, Looker, Datadog, and JIRA.
  • Experience developing or testing automotive software across embedded and system levels.

Responsibilities

  • Develop automated system-functionality tests at component, integration, and system levels, across software and hardware boundaries.
  • Automate open- and closed-loop replay-based tests, reliability tests, and fault-injection tests to support verification, release, coverage expansion, and debugging workflows.
  • Lead root-cause investigations for failures found during test campaigns, collaborating across hardware, software, and infrastructure teams.
  • Optimize Buildkite CI/CD-integrated test workflows for rapid, reliable, and repeatable execution.
  • Integrate third-party verification tools, including JAMA for requirements, MC/DC for coverage, and MISRA for style compliance; manage artifacts using Artifactory and Azure.
  • Define and track key performance indicators and quality metrics for system testing to support data-driven validation and release decisions.
  • Uncover software and hardware bugs through increased test coverage and report findings using JIRA.
  • Identify and implement infrastructure improvements that enhance test coverage, failure traceability, and compliance reporting.
  • Review, create, and follow risk assessments to ensure testing activities are conducted safely and responsibly.

Desired Qualifications

  • Experience with autonomous vehicle systems, advanced driver-assistance systems, or related technologies.
  • Strong Python automation skills and knowledge of dSPACE open- and closed-loop hardware-in-the-loop replay testing.
  • Experience contributing to continuous improvement of test methods, safety procedures, or operational efficiency.
  • Awareness of data management and version control systems, such as Git and Buildkite.
  • Familiarity with agentic artificial intelligence coding tools, such as Cursor and Claude Code, and demonstrated ability to use them to accelerate and optimize test development, debugging, and automation workflows.

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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