System Test Automation Engineer

About the role

The Verification and Release Test team at Wayve is seeking a System Test Automation Engineer to build robust, reusable automation for embedded software and hardware systems. You will work across engineering disciplines to improve test coverage, reliability, and traceability while leading root-cause investigations for failures. This role involves hands-on delivery and the opportunity to evolve into broader areas of sensing and model-behaviour testing.

Responsibilities

• Develop automation for system functionality tests at component, integration and system levels.
• Lead root-cause investigations for failures identified during test campaigns.
• Analyse test results, uncover software and hardware bugs, and report findings through Jira.
• Optimise Buildkite CI/CD-integrated test workflows for rapid, reliable and repeatable execution.
• Review, create and follow risk assessments to ensure all testing activities are conducted safely and responsibly.
• Build open-loop and closed-loop hardware-in-the-loop (HIL) replay tests, alongside reliability and fault-injection tests.
• Integrate requirements, coverage and compliance workflows, including Jama, MC/DC coverage analysis and MISRA checks.

Required skills

• Python
• pytest
• HIL testing
• CAN
• Ethernet
• GMSL
• dSPACE
• Vector
• Xylon
• ISO 26262
• ASPICE
• SOTIF
• CI/CD
• Git
• Jira

Nice to have

• ISO/SAE 21434
• UN R155
• Grafana
• Looker
• Datadog
• Bazel
• Cursor
• Claude Code

Qualifications

• Experience with system-level verification and validation in robotics, embedded software or mechatronic systems

Benefits

• Health insurance
• Dental insurance
• Enhanced maternity leave
• Enhanced paternity leave
• Retirement or pension
• Access to therapists
• Wellbeing partnerships
• Learning and development budgets

About the Company

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The company aims to make autonomy universal by developing a generalisable driving intelligence that can power any vehicle, anywhere.