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12 дней назад

Staff Robotics Engineer, AV Core (Autonomous Vehicles)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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