{"id":389095,"url":"https://alion.io/job/rai-institute-sensor-calibration-integration-intern","title":"Sensor Calibration & Integration Intern","company":{"id":96623,"name":"Robotics and AI Institute","domain":"rai-inst.com","url":"https://alion.io/company/rai-institute","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","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":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":83000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":829},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"GTSAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-31T18:56:21Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-11-01T18:34:20Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Join our team to build a seamless, user-friendly calibration suite for multi-modal sensor systems, encompassing RGB cameras, LiDARs, and IMUs. This is an exciting opportunity to have a direct real-world impact by enabling high-quality robotics research through precise sensor integration. You will work on the foundational tools that allow our intelligent machines to perceive and interact with the world accurately.\nWe are looking for Master or PhD students to work full-time for an extended period (~6 months) in an environment where researchers and engineers are developing state-of-the-art robotics technology. If you are interested in building tools that enable cutting edge robot research we encourage you to apply.\nWhat You'll Do\nPlay a key role in developing a seamless, user-friendly calibration suite for our multi-modal sensor systems, including RGB cameras, LiDARs, and IMUs.\n\nWork collaboratively with researchers focused on providing a solid foundation for building advanced robotic systems.\n\nProvide solutions to complex problems targeting robots deployed in the real world.\n\nDesign complex systems and make them easy to use.\n\nApply classical optimization as well as learning algorithms to practical robotics problems.\n\nWhat You'll Need\nMaster or PhD student in robotics, computer vision, or a related field.\n\nProficiency in C++ and Python is a must.\n\nSolid understanding of state estimation and optimization techniques.\n\nFamiliarity with factor graph optimization, ideally including experience with GTSAM.\n\nInterest in building robust tools that support robotics research.\n\nAreas of Special Interest\nExperience with learning-based calibration techniques.\n\nOpen source projects that showcase your problem solving skills, ideally in the field of robotics, computer vision or a related field.\n\nTrack record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields is a plus\n(e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, RSS, ICRA, IROS etc.)","description_format":"text","description_chars":2014,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Research Institutes"],"lifecycle":[{"event":"open","at":"2026-09-05T22:58:17Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long 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