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9 дней назад

Robotics Engineer (Embodied AI)

295 500 - 375 100$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Robotics Engineer (Embodied AI) (Robotics/ML): Building and deploying robot hardware and software systems for general-purpose robots with an accent on manipulation, control, planning, and embodied AI experimentation. Focus on developing C++ and Python robotics infrastructure, running real-world experiments, and solving complex hardware, software, policy, and model evaluation failures.

Location: Sunnyvale, California, USA; hybrid working with in-person collaboration in offices and hands-on work in vehicle workshops and labs.

Estimated base salary: $295.5K–$375.1K annually.

Company

hirify.global is building an AI platform for autonomous driving and general-purpose embodied intelligence, enabling vehicles and robots to learn from real-world experience.

What you will do

  • Build, integrate, and maintain robot hardware platforms for research and experimentation.
  • Develop and maintain C++ and Python robotics software for control, planning, ROS/ROS2 systems, and deployment infrastructure.
  • Create infrastructure for policy deployment, data collection, evaluation, and the robotics data flywheel.
  • Run real-world robot experiments and define data collection pilots that inform model development.
  • Collaborate with research teams on robot policy development, model evaluation, and data strategy.
  • Debug robotic software, hardware, and policy failures while building deployment, regression, and validation tests.

Requirements

  • Experience with robot manipulation and hands-on robot hardware.
  • Experience leading robotics efforts.
  • Strong programming experience in C++ and/or Python.
  • Experience with robot control, planning, ROS, or ROS2 systems.
  • High-quality research or engineering work in robotics, embodied AI, or related fields; publications at ICRA, CoRL, or IROS are highly valued.
  • PhD preferred, or a Master's degree with equivalent experience, plus 5+ years of relevant industry experience.

Nice to have

  • Experience training and deploying learned robot policies.
  • Machine learning experience.

Culture & Benefits

  • Hybrid working with core hours, office collaboration, and hands-on access to workshops and labs.
  • Meaningful equity and annually benchmarked salaries.
  • Relocation support and visa sponsorship where applicable.
  • Learning and development budgets for training, conferences, and professional growth.
  • Health and dental insurance, enhanced parental leave, retirement or pension benefits where applicable, wellbeing support, and team socials.

Hiring process

  • Initial recruiter call covering background, interests, and hiring context.
  • Competency interviews focused on programming and code review, followed by deep-dive technical interviews on domain knowledge and system design.
  • Final interview focused on mission and values alignment.

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