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6 дней назад

Robotics Engineer - Learning for Manipulation (Robotics)

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

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TL;DR
Robotics Engineer - Learning for Manipulation (Robotics): Training and deploying learning-based manipulation policies and building real-world data-collection pipelines that combine vision, force/torque sensing, and robot hardware with an accent on contact-rich manipulation and multimodal learning. Focus on integrating sensors, robots, simulation, and learning systems while bringing models from experiments to reliable working robots.

Location: Zurich, Switzerland

Company

hirify.global builds force/torque sensors, robot-learning tools, and a platform for training robot AI with vision and force sensing.

What you will do

  • Train, fine-tune, and deploy learning-based manipulation policies, including imitation learning, diffusion policies, and VLAs, using vision and force/torque inputs.
  • Build and operate real-hardware data-collection pipelines covering kinesthetic teaching, teleoperation, synchronized multimodal recording, and dataset curation.
  • Integrate force-aware, physics-consistent simulation for training and evaluation.
  • Design reliable, scalable software architecture connecting sensors, robots, and the learning stack.
  • Collaborate directly with hardware and embedded engineers to move models from experiments to working robots.

Requirements

  • Degree in Robotics, Computer Science, Electrical Engineering, or a related field, ideally with 1–3 years of relevant experience in industry, research, or a substantial thesis.
  • Hands-on experience training and fine-tuning machine-learning models, ideally for robotics.
  • Strong Python skills and working knowledge of C++.
  • Experience with ROS 2 and real robot hardware.
  • Clear communication skills and enjoyment of cross-disciplinary collaboration.

Nice to have

  • Experience with robot-learning frameworks such as LeRobot, policy architectures such as ACT, diffusion policy, or VLAs, or multimodal/tactile learning.
  • Simulation experience with MuJoCo, Isaac Sim/Lab, or similar tools.
  • Experience with force control, impedance control, or contact-rich tasks.

Culture & Benefits

  • Ownership of a core product area with direct impact on shipped work.
  • Daily access to advanced sensors, robots, and teleoperation setups.
  • Work with a small, highly technical team in Zurich.
  • Mentorship from experienced robotics professionals and hands-on work with robotic systems.

Hiring process

  • Apply with a CV and a short note about a manipulation or robotics project you are proud of.

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