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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Application Engineer - **Company:** TACTILIA robotics - **Location:** München, Germany - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Computer Vision, C++ (Programming Language), Python (Programming Language), Motion Capture, Object Detection, Systems Integration, Reinforcement Learning - **Published:** September 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bacf356150babd76 ## About the Role * Degree in mechatronics, robotics, automation, mechanical or electrical engineering, or a comparable qualification. * 3-8 years of experience in robot applications, commissioning, systems integration or automation engineering. * Practical experience programming and commissioning industrial robots or cobots, with the confidence to work on live robotic cells. * Strong Python skills; C++ is an advantage. * Experience with ROS 2 and simulation environments such as Isaac Sim, Gazebo, MuJoCo or comparable platforms. * Structured approach to testing - you design tests that produce measurable, reproducible results. * Hands-on mentality - you are comfortable building fixtures, wiring systems, commissioning hardware and running tests yourself. * Willingness to travel to customer sites and trade fairs, approximately 20-30%. * Fluent in English and German. Bonus: * Experience with grasping technology, end-of-arm tooling or dexterous manipulation. * Experience with teleoperation systems, motion capture or VR-based robot control. * Practical experience with imitation learning, behaviour cloning or reinforcement learning. * Experience with humanoid or mobile manipulation platforms. * Experience with machine vision and object detection in robotic applications. * Knowledge of risk assessment and safety for collaborative applications, including the Machinery Regulation and ISO/TS 15066. ## Description You are the bridge between a customer use case and our product. You take a task described on the shop floor, turn it into a working robot application, and translate what you learn back into concrete product requirements. You work on humanoid and industrial platforms, in our lab and at customer sites. You are close to the hardware, responsible for making applications work in practice, and know whether a grasp still holds after ten thousand cycles. You report to the CTO and work closely with Product, Software and Electronics. What you will do: * Use case to requirement. Analyse customer applications on site, understand their technical and operational constraints, and derive specific, testable product requirements. * Skill implementation. Implement and optimise grasping and manipulation skills on real hardware - including parameterisation, grasp strategies, task sequences and error recovery. * Testing. Design and run application-level tests covering endurance, cycle testing, grasp success rates, robustness to object and position variance, and reproducibility. * High-level control & integration. Integrate our hands into humanoid and industrial robots, including mechanical and electrical interfacing, commissioning, task-level programming and sequencing. * Teleoperation & robot learning. Set up and operate teleoperation systems, record high-quality demonstrations for imitation learning, and support reinforcement-learning workflows including sim-to-real validation. * Demo setups & showcases. Build reliable demonstrators for trade fairs, customer visits and pilot projects that can run repeatedly under real-world conditions. * Shop floor deployment. Take applications from the lab into production environments, addressing cycle times, safety, system interfaces and integration with existing automation. * Feedback into development. Capture field findings, failure modes and product limitations and work with Product and Engineering to translate them into concrete improvements. * Documentation & enablement. 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