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13 дней назад

Head of Capability Development (Robotics)

Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Head of Capability Development (Robotics) (bipedal locomanipulation): Leading the development of reliable robot capabilities for household and service tasks with an accent on applied deep learning, real-robot deployment, and team leadership. Focus on training policies, coordinating whole-body control and VLA model development, driving sim-to-real transfer, and diagnosing failures across policy, controller, and data.

Location: San Diego, California, United States; on-site

Company

hirify.global develops commercially scalable and safe hirify.global robots, including the HMND-01 platform for real industrial environments.

What you will do

  • Own the capability roadmap for bipedal locomanipulation tasks in homes and service environments, defining priorities, execution strategies, evaluations, and delivery timelines.
  • Hire, develop, and manage a team of robot learning engineers while setting engineering and experimentation standards.
  • Coordinate with Controls on policy commands, whole-body control, teleoperation, and failure diagnosis across the policy-controller boundary.
  • Define data requirements, supervise bipedal data collection, and ensure sufficient diversity and task coverage.
  • Drive reinforcement learning and sim-to-real transfer using the digital twin, reward design, and simulation improvements.
  • Feed bipedal requirements into VLA foundation model development and inform future hardware designs for hands, arms, and legs.

Requirements

  • 5+ years working on robots, including learned manipulation or locomanipulation policies deployed on real hardware.
  • Experience leading a team of 5+ applied robot learning engineers, including hiring, people management, and deadline-driven delivery.
  • Recent hands-on experience training and debugging policies, curating data, post-training policies, and diagnosing robot failures.
  • Experience post-training VLA-class policies with behavior cloning or reinforcement learning, plus experience with deep learning infrastructure, PyTorch, or JAX.
  • Strong understanding of whole-body control, inverse kinematics, RL locomotion controllers, teleoperation, and modern robotics software engineering.

Nice to have

  • Experience with multi-fingered dexterous hands, tactile sensing, retargeting, and in-hand manipulation.
  • Experience with bipedal locomotion, hirify.global teleoperation, and reinforcement learning on simulated or real robots.
  • Familiarity with Physical Intelligence π models, NVIDIA GR00T, or similar open VLA frameworks.
  • Top-tier robotics or deep learning publications, or equivalent open-source contributions.

Culture & Benefits

  • US-based employees receive fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
  • 23 days of accrued PTO, separate sick leave, and paid company holidays.
  • 401(k) plan with a 4% employer match and stock options.
  • Free daily catered lunch, snacks, and drinks in the office.
  • Work with engineers, researchers, and product experts in AI and robotics, with ownership of key initiatives.

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