{"id":2499625,"url":"https://alion.io/job/imagry-co-143-algo-and-control-engineer","title":"CO-143 Algo and Control Engineer","company":{"id":63123,"name":"Imagry","domain":"imagry.co","url":"https://alion.io/company/imagry","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"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":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":113000,"max_usd":273000,"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":"MATLAB","optional":false},{"name":"Motion Planning","optional":false},{"name":"Python","optional":false},{"name":"Inertial Navigation","optional":true},{"name":"Sensor Fusion","optional":true}],"status":"live","first_seen_at":"2026-06-18T19:39:34Z","employer_posted_date":"2026-06-18","last_verified_at":"2026-10-21T04:10:47Z","board_verified":true,"closed_at":null,"days_open":124,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":123},"description":"Description\nSenior Motion Planning & Control Engineer Imagry · San Jose, CA · On-Site\nJoin Imagry at the forefront of autonomous driving. As a Senior Motion Planning & Control Engineer, you'll architect the algorithms that determine how our vehicles perceive, reason about, and navigate the real world - directly shaping the safety and intelligence of our autonomous systems.\nWhat You'll Do\nDesign and implement advanced guidance and control algorithms for autonomous driving systems\nBuild, run, and analyze system-level tests to validate algorithm performance across complex, real-world scenarios\nOptimize control algorithms for real-time execution on embedded platforms\nTranslate intricate traffic situations into safe, efficient vehicle behavior\nKeep pace with the latest research in autonomous vehicle motion planning and control\nCollaborate actively through technical discussions, code reviews, and team brainstorming\nRequirements\nA degree in Electrical, Mechanical, Aeronautical Engineering, or a related field, with a strong foundation in control theory\nDeep, hands-on experience with motion planning and control algorithms for autonomous systems\nProficiency with complex electromechanical drive systems, dynamic systems, and control theory\nStrong programming skills in C++, Python, or MATLAB\nBonus Points\nMathematical fluency in probabilistic reasoning, optimization, and linear algebra\nUnderstanding of vehicle dynamics and experience with inertial navigation systems\nFamiliarity with real-time systems and optimization techniques\nKnowledge of sensor fusion and localization algorithms\nExperience with state estimation and filtering methods such as Kalman or particle filters\nRequirements","description_format":"text","description_chars":1697,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Computer 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