{"id":1555802,"url":"https://alion.io/job/fieldai-robotics-ai-engineer-calibration-localization-and-mapping-2","title":"Robotics AI Engineer – Calibration, Localization, and Mapping","company":{"id":672883,"name":"FieldAI","domain":"fieldai.com","url":"https://alion.io/company/fieldai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":82,"open_postings":104,"ghost_share":0.221,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Robotics","role_family":"Robotics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irvine, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":298000,"period":"year","method":"role_country_seniority_unknown","sample_n":559},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Embodied AI","optional":false},{"name":"Perception","optional":false},{"name":"Python","optional":false},{"name":"ROS","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SLAM","optional":false}],"status":"live","first_seen_at":"2026-10-01T01:09:43Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-24T20:21:05Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":23},"description":"Robotics AI Engineer - Calibration, Localization, and Mapping\nAbout Field AI\nField AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.\nLearn more at https://fieldai.com.\nAbout the Job\nField AI is seeking passionate scientists and engineers to play a vital role in the development of advanced geometric robot perception algorithms. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work with a team of high-focused individuals in a fast-paced environment to deliver production-quality code within our calibration, localization, and mapping subsystems. You will work with a variety of different sensing modalities and help streamline our calibration pipeline and/or develop environment-agnostic localization and mapping algorithms for our downstream autonomy modules. The specific project and work that you will be doing will depend on your specific skill set and area of interest. The ideal candidate will not only have a deep theoretical understanding of modern calibration, localization, and mapping algorithms, but also the practical skills to deliver high-quality and maintainable code on a small, focused team in a fast-paced environment.\nWhat You’ll Get To Do\nDesign and implement state-of-the-art calibration, localization, and mapping algorithms for our autonomous quadrupeds and humanoids\nDevelop various tools and metrics to continuously validate and benchmark the performance of our various subsystems\nWrite clean, efficient, and maintainable code in C++ and Python\nCollaborate with cross-functional teams to integrate and deploy your algorithms into real-world systems\nWhat You Have\nMaster’s or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping\nStrong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics\nStrong theoretical understanding and practical experience with different linear and non-linear state estimation frameworks for sensor fusion\nFamiliarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms\nFamiliarity with state-of-the-art visual-inertial odometry and SLAM algorithms\nExperience with sensor calibration (intrinsics and extrinsics) and time synchronization\nStrong proficiency in C++ and Python and modern best practices, with the ability to write maintainable and efficient code\nStrong understanding how ROS works and experience with designing, building, and deploying your own nodes into a complex robotic system\nStrong problem-solving skills, attention to detail, and being able to work independently while managing multiple priorities\nStrong work ethic, highly self-motivated, and excellent written and verbal communication skills\nThe Extras That Set You Apart\nPublications and/or patents in calibration, state estimation, odometry, and/or SLAM\nExperience working with noisy sensor measurements and designing outlier-resilient algorithms\nExperience working with computationally constrained platforms and designing efficient, real-time algorithms with low computational complexity\nExperience with other sensing modalities (e.g., radar, doppler-LiDAR, GPS, etc.)\nExperience with modern version control and project management tools","description_format":"text","description_chars":3624,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Industrial AI"],"lifecycle":[{"event":"open","at":"2026-10-01T01:57:44Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 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