18 часов назад
AI Validation Engineer (Autonomous Driving)
209 700 - 266 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Validation Engineer (Autonomous Driving) (AI/robotics): Building simulation-led validation, metrics, and automated tests for Wayve's end-to-end AI Driver with an accent on autonomous-driving behavior, scenario coverage, and measurable safety performance. Focus on analyzing simulation results, investigating failure modes, and defining acceptance criteria that influence release decisions across L2+ to L4 autonomy products.
Location: Sunnyvale, California, USA; hybrid working model combining in-person collaboration with remote work.
Salary: Senior $209,700–$266,800 annually; Staff $276,100–$311,400 annually.
Company
develops an end-to-end AI platform for autonomous driving, enabling vehicles to learn from real-world experience and adapt across L2+ to L4 automation.
What you will do
- Own validation for driving-behavior competencies from strategy through execution.
- Develop metrics and automated tests connecting product requirements to measurable driving performance.
- Run simulation-based evaluations, analyze results, and investigate failure modes.
- Define coverage requirements, test suites, and acceptance criteria with Product, Safety, and AV Engineering.
- Report findings to Release and Autonomy Engineering stakeholders.
- Collaborate across data, simulation, and evaluation teams to scale automated validation.
Requirements
- Hands-on experience validating behavior in autonomous driving, robotics, or a related product domain.
- Understanding of validation challenges beyond basic lane-keeping or conventional ADAS, including L2+, L3, or L4 systems.
- Professional Python experience and the ability to implement metrics, tests, or evaluation tools.
- Systems-thinking skills and the ability to turn ambiguous requirements into practical automated tests.
- Ability to adapt to evolving simulation paradigms and communicate findings clearly.
- Experience with SQL, large datasets, AI tooling, or agentic workflows is helpful.
Nice to have
- Experience with SQL, large datasets, AI tooling, or agentic workflows.
Culture & Benefits
- Hybrid work with access to vehicle workshops and laboratories.
- Relocation support and visa sponsorship where applicable.
- Meaningful equity and annually benchmarked salaries.
- Learning and development support.
- Location-dependent health, family, retirement, and wellbeing benefits.
- Ownership in a growing organization where processes and ways of working are still being developed.
Hiring process
- Initial recruiter call lasting 25 minutes.
- Competency interview and 3–4 hours of deep-dive interviews covering systems and domain expertise.
- Final 60-minute interview focused on mission and values alignment.
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