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Jobs(26,681)/Systems Engineer Role(167)/wayve (60) - Staff Validation Systems Engineer, AI Validation
wayve

wayve - Staff Validation Systems Engineer, AI Validation

London, United Kingdom - Hybrid+ Equity3w ago
In OfficeStaffEMEAAutomotiveSystems EngineerStaff EngineerPythonData AnalysisSQL

Responsibilities

• Translate product, systems, and safety requirements into validation strategies, test scenarios, metrics, coverage requirements, and acceptance criteria. • Work hands-on with Python, evaluation pipelines, test implementation, simulation, and data analysis. • Analyse results and communicate findings, risks, and evidence to Product, Safety, Release, and Autonomy Engineering stakeholders. • Coordinate data, simulation, and evaluation dependencies so validation can run reliably and at scale. • Develop comprehensive verification strategies for ADAS and L2 autonomy functions. • Translate customer, OEM, safety, and regulatory expectations into practical validation evidence. • Build test suites spanning simulation and physical testing environments. • At M4, provide people leadership and coordinate validation delivery across the team; at TC4, provide senior technical ownership as an individual contributor. • 🧩 WHAT YOU’LL BE WORKING ON • ADAS functions such as lane keeping and other assisted-driving capabilities. • Validation strategies aligned with automotive OEM development, customer expectations, SOTIF, and emerging AV-industry standards. • Simulated and physical test environments, comprehensive coverage, and evidence-based release decisions. • Python-based evaluation tooling, SQL and scalable data analysis, behavioural metrics, test coverage, and automated validation execution. • 🙌 YOU SHOULD APPLY IF • You understand how automotive companies and OEMs develop and validate ADAS or L2 autonomy products. • You can translate customer, safety, regulatory, and product expectations into structured validation strategies. • You have hands-on experience building scenarios, metrics, test suites, evaluation pipelines, or data-analysis workflows. • You can use Python professionally and are comfortable with SQL or similar large-scale analysis tools. • You have validated complex systems in simulation, the real world, or both. • You communicate clearly, document decisions well, and can own ambiguous problems from concept through evidence and recommendation. • ML, computer vision, motion planning, SOTIF, safety validation, or modern AI-tooling experience is advantageous. • For the M4 scope, you have experience leading people or coordinating a validation function; for TC4, you bring strong senior individual-contributor ownership. • 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

Benefits

• 💰 Salaries benchmarked against the market annually • 📈 Meaningful equity • ✈️ Relocation support and visa sponsorship where applicable • ✅ Hybrid working and hands-on access to workshops and labs • 📚 Learning and development support • 🩺 Comprehensive location-dependent health, family, retirement, and wellbeing benefits • Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. • If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. • At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. • For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/

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