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8 дней назад

Robotics Engineer, Model Deployment (AI/Robotics)

Тип работы
fulltime
Английский
c1
Страна
Switzerland
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, Model Deployment (AI/Robotics): Integrating and deploying AI models across robotic platforms and customer environments with an accent on physical AI, software engineering, and scalable deployment workflows. Focus on adapting models to new robots and sensors, diagnosing integration issues, and building tooling for monitoring and improving deployments.

Location: Zürich, Switzerland

Company

hirify.global is an early-stage deep-tech robotics and AI startup developing dexterous robotic automation for tedious manual labor and labor shortages.

What you will do

  • Integrate and deploy AI models across robotic platforms, hardware stacks, sensors, and customer environments.
  • Adapt software, training, and deployment systems for new robots and operating environments.
  • Work directly with customer engineering teams to integrate and optimize robotics systems.
  • Diagnose AI, software, and robotics integration issues and drive them to resolution.
  • Build scalable tooling and workflows for model deployment, monitoring, evaluation, and improvement.
  • Plan and execute deployments, coordinate with customers and internal teams, and translate deployment learnings into product improvements.

Requirements

  • Master’s or PhD in Computer Science, Robotics, AI, Electrical Engineering, Mechanical Engineering, or a related technical field.
  • Strong robotics background and understanding of physical AI and robotics systems.
  • Excellent software engineering skills, including designing, implementing, and testing robust solutions.
  • Strong Python skills and experience with machine learning frameworks such as PyTorch.
  • Experience deploying AI/ML systems on real robotic hardware, with knowledge of AI training methods, data pipelines, and model evaluation.
  • Fluent English, willingness to travel for customer deployments and technical workshops, and a category B driving licence.

Nice to have

  • Experience with imitation learning, reinforcement learning, diffusion policies, or foundation models.
  • Experience with robotic manipulation, ROS/ROS2, robot control systems, or simulation environments.
  • Familiarity with cloud infrastructure, containerization, Docker, Kubernetes, and deployment tooling.

Culture & Benefits

  • Competitive yearly base salary and a strong stock option package.
  • Opportunity to help shape a robotics and AI company from the ground up.
  • Flat hierarchies with direct collaboration with founders and robotics specialists.
  • Inclusive environment that values diverse perspectives and personal experience.

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