System Test Automation Engineer (Autonomous Driving)

Location: London, United Kingdom. Hybrid working model with in-person collaboration in offices, workshops and labs.

Company

hirify.global is building an AI platform for autonomous driving that enables vehicles to learn from real-world experience and supports automation from L2+ through L4.

What you will do

• Develop automated system-functionality tests across component, integration and system levels, spanning software and hardware boundaries.
• Own automated verification for a defined area of the embedded software stack, including open-loop and closed-loop HIL replay, reliability and fault-injection testing.
• Lead root-cause investigations, analyse test results, identify bugs and report evidence through Jira.
• Optimise Buildkite CI/CD-integrated workflows and automate HIL test setups to improve coverage, reliability, traceability and compliance reporting.
• Integrate requirements, coverage and compliance workflows using Jama, MC/DC analysis, MISRA checks, Artifactory and Azure.
• Build traceability dashboards and define KPIs and quality metrics for validation and release decisions.

Requirements

• Hands-on system-level verification and validation experience in robotics, embedded software or mechatronic systems, with independent delivery of test automation.
• High proficiency in Python and experience developing automation test frameworks with pytest.
• Experience with HIL testing and interfaces such as CAN, Ethernet or GMSL, using dSPACE, Vector, Xylon or similar tools.
• Understanding of open-loop and closed-loop HIL replay testing with dSPACE or other emulators.
• Knowledge of ISO 26262, ASPICE and SOTIF, plus experience with requirements and test-management tools such as Jama and Xray.
• Proficiency in CI/CD principles and tools such as GitLab CI, Buildkite and Bazel.
• Experience developing or testing automotive software at embedded and system levels, including hardware/software interactions, interface-level testing and L2+ hands-off, L3 or L4 automated-driving systems.
• Knowledge of Euro NCAP, AEB, LSS/LKA, UN R171 DCAS testing, and automotive cybersecurity standards including ISO/SAE 21434 and UN R155.
• Experience with test automation dashboards, logging and reporting infrastructure using tools such as Grafana, Looker, Datadog and Jira; clear communication across software, hardware, autonomy, DevOps and product teams.

Nice to have

• Experience improving test methods, safety procedures or operational efficiency.
• Familiarity with Git and data-management/version-control tools.
• Experience using agentic AI coding tools such as Cursor or Claude Code for test development, debugging and automation.

Culture & Benefits

• Hybrid work combining office collaboration with focused remote work; core hours and hands-on work in vehicle workshops and labs.
• Learning and development budgets supporting training, conferences and professional growth.
• Benefits may include health and dental insurance, enhanced maternity and paternity leave, retirement or pension provisions, therapy access, wellbeing partnerships and team socials, depending on location.
• Ownership and participation in shaping processes within a growing, not-yet-fully-structured organisation.

Hiring process

• Initial recruiter call: 30 minutes.
• Programming and hiring-manager competency interviews: 1 hour 45 minutes total; followed by cross-functional and system-design technical interviews: 1 hour 45 minutes total.
• Final mission and values interview: 45 minutes.