Test Engineer (Autonomous Driving)

Location: Leonberg, Germany; hybrid working model with in-person collaboration and remote work

Company

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

What you will do

• Design and deliver automated verification for defined areas of the embedded software stack.
• Develop component-, integration-, and system-level functionality tests across software and hardware boundaries.
• Automate open-loop and closed-loop replay, reliability, fault-injection, release, and debugging workflows.
• Lead root-cause investigations and collaborate with hardware, software, infrastructure, autonomy, DevOps, and product teams.
• Optimise CI/CD-integrated testing with Buildkite and improve coverage, reliability, traceability, and compliance reporting.
• Define quality KPIs, report defects through JIRA, and ensure testing follows appropriate risk assessments and safety procedures.

Requirements

• Hands-on experience with system-level verification and validation in robotics, embedded software, or mechatronic systems.
• Experience with L2+ hands-off, L3, or L4 automated driving systems, ADAS, or related technologies.
• Strong Python proficiency and experience building automation frameworks with pytest.
• Experience with HiL testing and tools such as CAN, Ethernet, GMSL, dSPACE, Vector, or Xylon.
• Knowledge of automotive safety, cybersecurity, and quality standards including Euro NCAP, UN R171, ISO/SAE 21434, UN R155, ASPICE, SOTIF, and ISO 26262.
• Experience with interface-level testing, CI/CD tooling, test dashboards, logging, reporting, and cross-functional engineering collaboration.

Nice to have

• Familiarity with JAMA, MC/DC, MISRA, Artifactory, Azure, GitLab CI, Bazel, Grafana, Looker, Datadog, or X-RAY.
• Experience with agentic AI coding tools such as Cursor or Claude Code.
• Experience improving test methods, safety procedures, operational efficiency, or data and version-control workflows.

Culture & Benefits

• Hybrid work with core hours and hands-on work in vehicle workshops and labs.
• Relocation support and visa sponsorship where applicable.
• Market-benchmarked salaries and meaningful equity.
• Learning and development budgets for training, conferences, and professional growth.
• Health insurance, dental coverage, enhanced parental leave, retirement or pension benefits where applicable, therapy access, wellbeing partnerships, and team socials.

Hiring process

• Initial recruiter call lasting approximately 30 minutes.
• Python programming competency interview lasting approximately 60 minutes.
• Technical interviews covering system design, validation and release, and cross-functional collaboration.
• Final 30-minute mission and values alignment interview.