> Markdown version of [/jobs/ext/2291218-ai-senior-engineer](https://www.wearedevelopers.com/jobs/ext/2291218-ai-senior-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Senior Engineer - **Company:** TELUS Digital - - **Location:** Pocking, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, C Sharp (Programming Language), Continuous Integration, Middleware, Python (Programming Language), PostgreSQL, Object Detection, OpenCV, Open Source Technology, Sensor Fusion, Pytorch, Multi-Agent Systems, Prompt Engineering, Build Management, ONNX (Open Neural Network Exchange) Format, TensorRT, Api Design, Grpc, Lidar, Docker - **Published:** August 29, 2026 - **Apply:** https://www.adzuna.de/details/5858243185 ## About the Role * 4+ years in robotics ML, computer vision, or technical solutions engineering. * Strong CV and perception - detection, segmentation, pose estimation, optical flow. * Solid 3D geometry - SE(3) transformations, camera models, projection, coordinate frames. * Sensor calibration - intrinsic/extrinsic, hand-eye, and multi-modal alignment. * LiDAR processing and sensor fusion, including LiDAR - camera calibration. * Sim-to-real experience - domain randomisation and sim environments (Isaac Sim, MuJoCo, Gazebo, or Unity Robotics Hub). * Conceptual grasp of VLA architectures and the current SOTA landscape. * Strong Python (PyTorch); able to read and implement research papers. * Prior client-facing or presales technical experience. * Clear communicator across technical and non-technical audiences. Preferred Qualifications * Agentic systems and prompt engineering - tool-use agents and multi-step planners. * API development (REST/gRPC, Docker, basic CI/CD) and PostgreSQL. * ROS / ROS2 or equivalent robotics middleware. * C# for Unity-based simulation and tooling. * Fine-tuning large pretrained models under data/compute constraints. * Edge/onboard optimisation - TensorRT, ONNX, quantisation. ## Description * Own client engagements end to end - technical discovery, solution architecture, hands-on build, and delivery - acting as the technical authority on feasibility. * Translate ambiguous real-world problems into concrete perception and robotics ML architectures; lead demos and proof-of-concept scoping. * Design and build CV and perception systems - detection, segmentation, pose estimation - on the 3D geometry underneath (SE(3), camera models, projection, coordinate frames). * Own sensor calibration and fusion - intrinsic/extrinsic, hand-eye, and LiDAR - camera - plus LiDAR processing (registration, ground segmentation, object detection). * Design egocentric data collection pipelines using wrist/head-mounted cameras, depth sensors, and IMU for robot learning. * Bridge simulation and deployment via domain randomisation, sim setup, and sim-to-real gap analysis. * Evaluate, select, and integrate VLA models, and fine-tune large pretrained models under data and compute constraints. * Build supporting services - agentic loops, REST/gRPC APIs, and PostgreSQL - to expose model inference and robotics services. * Mentor engineers, drive principled decisions (diagnose before solving), and translate current research into practical client implications., * Hands-on with robot hardware (Franka, UR, Unitree, or similar). * Research orientation - tracks arXiv, forms opinions from first principles. * Publications, open-source work, or notable projects in robot learning or Physical AI. Technical Stack * Languages: Python (PyTorch) * Perception / 3D: OpenCV, Open3D, PCL, point cloud processing * Simulation: Isaac Sim, MuJoCo, Gazebo, Unity Robotics Hub * Robotics Middleware: ROS / ROS2 * Models: VLA models (RT-2, OpenVLA, π , Octo), ViTs, multimodal, hosted and open-source * Deployment: REST/gRPC, Docker, PostgreSQL; TensorRT / ONNX for edge * Core Areas: CV and perception, 3D geometry, calibration, LiDAR, sensor fusion, sim-to-real, agentic systems Success Measures * Client engagements delivered with clear architecture, working perception/robotics systems, and evaluation coverage. * Reusable solution patterns and accelerators created from recurring engagement needs. * Robust calibration, data collection, and sim-to-real workflows that transfer reliably to real hardware. * Sound VLA and model-selection/fine-tuning decisions, grounded in the current SOTA landscape. * Effective mentorship and principled technical guidance across the Technical Solutions team. ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [From Perception to Autonomy: Building Agentic Edge AI Robots with ROS 2](https://www.wearedevelopers.com/videos/100295-from-perception-to-autonomy-building-agentic-edge-ai-robots-with-ros-2) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)