{"id":3760697,"url":"https://alion.io/job/distalmotion-edge-ai-computer-vision-intern","title":"Edge AI & Computer Vision Intern","company":{"id":176322,"name":"Distalmotion","domain":"distalmotion.com","url":"https://alion.io/company/distalmotion","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Epalinges, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"Edge AI","optional":false},{"name":"Git","optional":false},{"name":"GStreamer","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"TensorRT","optional":false}],"status":"live","first_seen_at":"2026-11-04T18:26:45Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T10:25:15Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We are investigating real-time edge computing architectures to enhance visual feedback in next-generation medical robotics. Our systems combine high-bandwidth video streams with real-time robotic telemetry to support precision tasks.\nIn this internship, you will lead the hands-on prototyping of an edge AI processing unit using a state-of-the-art Edge AI development platform. You will be responsible for bringing up the hardware from scratch, establishing a low-latency video pass-through pipeline, and evaluating how computer vision and machine learning models can extract insights and render helpful visual cues in real time.\nTasks :\nHardware Bring-Up: Set up, configure, and benchmark a new edge AI development platform (operating system, drivers, hardware acceleration libraries, and high-speed video capture interfaces).\nLow-Latency Video Pipeline: Explore and prototype low-latency video streaming architectures using real-time processing frameworks to capture high-resolution camera feeds and drive responsive external displays.\nTelemetry & Visual Overlays: Ingest robotic telemetry alongside the video feed to render dynamic graphical annotations and spatial guidance cues directly onto the live stream.\nComputer Vision & AI Prototyping: Benchmark lightweight computer vision algorithms and modern neural network architectures (e.g., for object tracking, state awareness, or semantic scene understanding) on edge hardware.\nSystem Profiling & Documentation: Measure end-to-end processing delays, evaluate hardware resource utilization, and document the architecture to guide future product development.\nRequirements\nRequired abilities:\n\nEnrolled in a Master’s degree or final year of a Bachelor’s program in Computer Science, Robotics, Embedded Systems, Electrical Engineering, or a related discipline.\nPractical programming experience in Python or C++.\nWorking knowledge of Linux environments, shell scripting, and version control (Git).\nFoundational understanding of computer vision or machine learning using standard libraries (such as OpenCV, PyTorch, or ONNX Runtime).\nAn exploratory, hands-on mindset with an interest in hardware bring-up, lab prototyping, and embedded development.\nOpen-minded, self-driven & creative problem solving\nFluency in English is a must\n Beneficial Experience:\nFamiliarity with real-time streaming SDKs (e.g., NVIDIA Holoscan, DeepStream, or GStreamer) or GPU acceleration tools (CUDA, TensorRT).\nBasic understanding of sensor fusion or 2D/3D coordinate transformations.\nBenefits\nWhat we offer :\nA dynamic, innovative environment with cutting-edge medical technology that is shaping the future of robotic surgery. \nFast-growing Company where innovation meets agility.\nStructured onboarding program and training, ensuring a confident start. \nHigh degree of autonomy and flexibility.","description_format":"text","description_chars":2823,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotic Software & Control Systems","Surgical Instruments & 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