12 дней назад
Staff Robotics Engineer, AV Core (Autonomous Vehicles)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Robotics Engineer, AV Core (Autonomous Vehicles) (Robotics/AV): Building fault detection and fallback systems for driverless operation with an accent on robotics systems, safety, and robust real-world deployment. Focus on setting technical strategy, integrating safety-critical systems into the driving stack, and designing evidence-based detection mechanisms with Python, C++, and machine learning.
Location: London, United Kingdom
Company
develops assisted and automated driving technology using robotics, machine learning, and large-scale fleet data.
What you will do
- Set the technical strategy and roadmap for fault detection and fallback systems supporting driverless operation.
- Define behavioral scope, operating envelopes, system interfaces, and measurable acceptance criteria.
- Design and train fault detection mechanisms using evidence-based methods.
- Collaborate with machine learning, inference optimization, and software engineering specialists.
- Lead integration into the shared driving stack and align technical decisions across teams.
- Improve overall robot-system robustness through architecture reviews, mentoring, and clear communication of risks and trade-offs.
Requirements
- Practical experience developing, implementing, and troubleshooting robotics solutions.
- Staff-level technical leadership across ambiguous programs, multiple teams, research, and production deployment.
- Strong technical judgment and communication, including safety-relevant trade-offs and evidence-based decision-making.
- Experience with Python and C++ for robotics.
Nice to have
- Experience deploying and maintaining fleets of robots or vehicles in real-world conditions.
- Experience developing data collection, triage, and debugging tools for robotic systems.
- Experience with cloud monitoring for large-scale fleets, including dashboards, logging, and real-time alerts.
- Knowledge of embedded and real-time systems for safety-critical applications.
- Experience with machine learning and inference optimization.
Culture & Benefits
- Work in a focused senior team with strong ownership and cross-functional collaboration.
- Access large-scale training and fleet data.
- Collaborate closely with research, simulation, evaluation, and applied engineering functions.
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