Director AV Product Engineering (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Director AV Product Engineering (AI): Leading the Product Engineering group to deliver autonomous vehicle capabilities from AI model backbones with an accent on production-level quality and technical strategy. Focus on establishing solid ML practices, driving an eval-driven culture, and scaling technical capabilities across the division.
Location: Hybrid in Sunnyvale (USA) or London (UK)
Salary: $440,000 – $580,000
Company
is a leading developer of Embodied AI technology creating mapless and hardware-agnostic AI products to accelerate the transition to automated driving.
What you will do
- Define and own the technical vision, strategy, and metrics for the Product Engineering area.
- Deliver an autonomous vehicle capability roadmap with production-level quality using AI model backbones.
- Frame autonomous driving as a data problem and define efficient data curriculums for feature and geographical coverage.
- Drive an eval-driven culture to reach KPI targets with high predictability and resource efficiency.
- Lead and develop Engineering Managers, establishing career growth trajectories and resilient teams.
- Partner with senior leadership to maintain a culture of impact, performance, and organizational health.
Requirements
- Proven experience delivering successful Autonomy products relying on complex AI models.
- Experience leading complex, multi-layered or matrixed engineering teams.
- Deep domain expertise in autopilot, navigation, active safety, and parking systems.
- Strong product delivery skills, including roadmap articulation and interfacing with business functions.
- Expertise in resource allocation and long-term program planning (1-2 years out).
- Must be based in or able to work from the London or Sunnyvale offices.
Nice to have
- Experience applying foundation models to implement specific product features.
- Experience collaborating with multiple automotive OEMs.
- Experience with GenAI simulation.
- Knowledge of cloud platforms, databases, and large-scale data pipelines.
Culture & Benefits
- Hybrid working policy combining office/workshop collaboration with working from home.
- Inclusive work environment that values diversity and different perspectives.
- Opportunity to solve groundbreaking problems in Embodied AI.
- Competitive equity package in addition to base salary.
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