Senior Robotics & Deep Learning Engineer; Industrial Inspection

Facing the challenges of our time - Help us grow and be more impactful!

Based in Alpnach, you will have the opportunity to:

• Work on R&D projects with real industrial impact - taking solutions from prototype to deployment.
• Have a high ownership role with room to grow into (or operate as) a project lead.
• Leverage modern tools and strong internal expertise across vision, robotics, optics, embedded, and software.
• Collaborate with leading industrial partners in Switzerland and internationally.

Your mission is to develop deployment-ready, industrial-grade solutions for our clients. You’ll also take (or grow into) a project leadership role - driving scope, planning, stakeholders, and delivery with a pragmatic, customer-impact mindset. We are looking for a hands‑on person who can deliver.

• Develop and deploy deep learning and computer vision solutions for industrial inspection and automation (2D/3D sensor data, cameras, 3D reconstruction, detection/segmentation/anomaly detection).
• Build robust software applications using our C# framework CSEM ViSARD (https://(Use the "Apply for this Job" box below).) and Python‑based ML tooling.
• Integrate solutions into automation/robotics setups (e.g., robot‑guided inspection, sensor integration, industrial PCs/GPUs, interfaces to machines).
• Design and implement user‑friendly HMI/UX for industrial applications.
• Own the end‑to‑end engineering lifecycle: requirements → architecture → implementation → testing → deployment → maintenance.
• Take responsibility for (or strongly support) project execution: planning, milestones, risk management, reporting; coordinating internal experts and external partners; managing customer expectations and technical trade‑offs.
• Set up and maintain data/ML infrastructure: databases for process data, training data, model versions; support/maintain parts of the in‑house compute/training environment (in collaboration with IT and colleagues).
• Contribute to project acquisition (technical proposals, work packages, effort estimates, demos).
• Proactively propose pragmatic improvements and stay current with state‑of‑the‑art methods relevant to deployment.

• Master’s degree in Engineering, Computer Science, Robotics, Informatics (or equivalent).
• Several years of relevant professional experience in robotics/automation and/or industrial computer vision, with hands‑on deep learning experience.

• Strong programming skills in Python and C#.
• Strong applied experience in deep learning for vision (e.g., PyTorch, ONNX, model deployment, ML Flow, …).
• Solid practical experience with computer vision and imaging pipelines (camera calibration, lighting, 2D/3D data handling, performance/robustness).
• Experience with databases and data pipelines.
• Hands‑on mentality: comfortable across software + hardware integration (sensors, industrial PCs/GPUs, lab setups).

• 3D visualization and large dataset visualization (point clouds, meshes, annotation tools).
• Experience with robotics frameworks/integration (e.g., ROS/ROS2, OPC UA, field interfaces, robot vendor APIs).
• MLOps practices (model/versioning, CI/CD for ML, monitoring, reproducible training).
• Proposal writing / Innosuisse / EU / industry‑funded R&D experience.

• Structured, analytical problem solver; pragmatic delivery mindset.
• Strong collaboration skills in interdisciplinary teams.
• Proactive, resilient, quality‑minded, innovation‑driven.
• Comfortable communicating with customers and stakeholders.
• Fluent English is required.
• German: ideally negotiation‑level (highly preferred).

Our mission is the development and transfer of innovative technologies to the Swiss industry. Our objective is to make an impact on our customers and on society at large in the fields of precision manufacturing, digital technologies and sustainable energy. Our strength is the excellence of our people, about 650 passionate specialists dedicated to innovation and technology transfer. We believe that strong values support the successful development of our organization as well as the harmonious and balanced development of all our employees.

• A…