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About the Role

Wayve's Verification and Release Test team focuses on Hardware, Embedded Software, and Machine Learning Models, testing at component, system, and vehicle levels. We seek an efficient and effective approach to deliver valuable results. This role involves scaling embedded software verification and may expand into sensing and model behavior testing. The ideal candidate is a self-starter with a keen eye for improvement across engineering domains.

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.
Optimize 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.

Requirements

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.
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).

Skills

Python
pytest
CAN
Ethernet
GMSL
dSPACE
Vector
Xylon
JAMA
MC/DC
MISRA
Artifactory
Azure
JIRA
Grafana
Looker
Datadog
GitLab CI
Buildkite
Bazel
Git
Jenkins

Location

London

Work Type

Full-time
Hybrid

Experience Level

System-level verification and validation
HiL testing and tooling
Automation test frameworks
Interface-level testing
Software quality assurance tools and standards integration
CI/CD principles and tooling
Test automation dashboards, logging, and reporting infrastructure
Automotive software development or testing
Autonomous vehicle systems, ADAS, or related technologies
Data processing and automation scripting
Vehicle networks and diagnostic protocols
Vehicle instrumentation, data logging, and calibration tools
Continuous improvement of test methods
Data management and version control systems

About the Company

Wayve is at the forefront of autonomous driving technology, integrating Hardware, Embedded Software, and Machine Learning Models.