2 дня назад
Staff Validation Systems Engineer (Autonomous Driving)
276 100 - 311 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Validation Systems Engineer (Autonomous Driving): Building validation strategies, evaluation pipelines, test scenarios, and behavioural metrics for L2+ driving features and new AI Driver capabilities with an accent on simulation, real-world validation, and human–automation interaction. Focus on analysing large-scale driving data, defining acceptance criteria, and producing evidence for product and release decisions.
Location: Sunnyvale, California, USA; hybrid working model combining in-person collaboration with remote work.
Salary: $276,100–$311,400 annually, plus equity.
Company
develops an end-to-end AI platform for autonomous driving, enabling vehicles to learn from real-world experience and support automation from L2+ through L4.
What you will do
- Translate product, systems, and safety requirements into validation strategies, scenarios, metrics, coverage requirements, and acceptance criteria.
- Validate L2+ feature-level driving behaviours and new AI Driver capabilities in simulation and real-world environments.
- Evaluate interactions between automated-driving systems and human drivers.
- Build Python-based evaluation tooling, pipelines, test suites, and scalable data-analysis workflows.
- Analyse results and communicate risks, findings, and release evidence to Product, Safety, Release, and Autonomy Engineering stakeholders.
- Coordinate data, simulation, and evaluation dependencies while providing technical direction as an individual contributor.
Requirements
- Experience validating autonomous-driving, robotics, or closely related intelligent products, particularly learned or adaptive behaviours.
- Hands-on experience building scenarios, metrics, test suites, evaluation pipelines, or data-analysis workflows.
- Professional Python experience and comfort with SQL or similar large-scale analysis tools.
- Experience validating complex systems in simulation, the real world, or both.
- Ability to communicate clearly, document decisions, and own ambiguous problems through evidence and recommendations.
- Must work from or be based near Sunnyvale, California, in a hybrid arrangement.
Nice to have
- Experience with machine learning, computer vision, motion planning, SOTIF, safety validation, or modern AI tooling.
- Direct automotive OEM experience.
Culture & Benefits
- Relocation support and visa sponsorship where applicable.
- Hybrid work with in-person collaboration and access to workshops and labs.
- Market-benchmarked salaries, meaningful equity, and learning and development support.
- Location-dependent health, family, retirement, and wellbeing benefits.
- Ownership in a growing environment where processes and ways of working are still being developed.
Hiring process
- Recruiter screen lasting approximately 25 minutes.
- Hiring manager screen lasting approximately 60 minutes.
- Four-hour technical deep dive, followed by a 60-minute mission and values interview.
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