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Forward Deployed Engineer (Robotics)

Mimicrobotics Com

ZürichOn-site1w ago
Employment
Full-time

About the role

  • Integrate and deploy mimic’s AI models on customer robotic platforms and hardware stacks
  • Adapt our training, evaluation, and deployment pipelines to new robots, sensors, and manipulation tasks
  • Work closely with customer AI and robotics teams to ensure successful adoption of mimic’s technology
  • Diagnose model, data, perception, and robotics integration issues and drive rapid resolution
  • Support customer deployments on-site and remotely across a variety of robotics applications
  • Contribute to internal tooling, infrastructure, and codebases to improve scalability and ease of integration
  • Define integration requirements, deployment architectures, and technical roadmaps together with customers
  • Coordinate across internal AI, robotics, and product teams to ensure successful project execution
  • Track and communicate deployment KPIs such as task success rate, robustness, latency, and system uptime
  • Master’s or PhD degree in Computer Science, Robotics, AI, Electrical Engineering, Mechanical Engineering, or a related technical field
  • Experience deploying AI/ML systems in real-world environments
  • Python programming skills and experience with modern machine learning frameworks (e.g. PyTorch)
  • Strong robotics background with hands-on experience working on robotic systems, including perception, planning, controls, manipulation, or robot software infrastructure
  • Excellent communication skills and the ability to work directly with highly technical customers
  • Strong problem-solving skills and a hands-on engineering mindset
  • Fluent English
  • Willingness to travel for customer deployments and technical workshops
  • Driving License (B)
  • Familiarity with modern robot learning approaches (imitation learning, reinforcement learning, diffusion policies, foundation models)
  • Experience with robotic manipulation, ROS/ROS2, robot control systems, or simulation environments
  • Experience integrating AI models with robotic hardware platforms
  • Familiarity with cloud infrastructure, containerization, and deployment tooling (Docker, Kubernetes, etc.)

Perks & benefits

  • Equity Compensation

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