{"id":744238,"url":"https://alion.io/job/skyways-senior-computer-vision-engineer","title":"Senior Computer Vision Engineer","company":{"id":686798,"name":"Skyways","domain":"skyways.com","url":"https://alion.io/company/skyways","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":16,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":184,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":133000,"max_usd":256000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Python","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"ROS2","optional":true}],"status":"live","first_seen_at":"2025-07-18T13:18:39Z","employer_posted_date":"2025-07-18","last_verified_at":"2026-11-09T13:12:59Z","board_verified":true,"closed_at":null,"days_open":479,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":478},"description":"The Opportunity\nThis role owns some of the hardest perception problems in autonomous flight.\nYou will develop computer vision systems for autonomous landing, targetless landing zone evaluation, and perception-driven navigation in real operating environments. Your work will directly impact how aircraft identify safe landing areas, operate in degraded environments, and complete missions reliably without prepared infrastructure.\nYou will work across perception, sensor fusion, and flight systems to improve how aircraft understand terrain, obstacles, and environmental conditions during autonomous operations.\nThe ideal candidate has experience deploying perception systems on real robotic, automotive, or aerial platforms and understands the challenges of reliability, integration, and operational performance at system level.\nYou will work closely with autonomy, GNC, and flight operations teams to take systems from development through flight testing and operational deployment.\nWhat You'll Do:\nDevelop and deploy computer vision systems for autonomous landing and landing zone evaluation\n\nBuild perception systems for targetless landing in unstructured and dynamic environments\n\nMentor junior perception engineers and raise the quality bar for how perception systems are designed, tested, and deployed\nDevelop algorithms for terrain understanding, obstacle detection, and environment classification\n\nWork with onboard camera, IMU, GPS, and other sensor data in real flight environments\n\nImprove system performance using operational flight data, testing, and iteration\n\nCollaborate across autonomy, GNC, and flight operations teams to integrate perception into flight behaviors\n\nDebug perception and autonomy issues observed during simulation, ground testing, and flight operations\n\nContribute to software architecture, testing, integration, and deployment workflows\n\nWhat You'll Bring:\n5+ years of experience developing and deploying computer vision or perception systems in real-world environments\n\nStrong proficiency in C++ and Python\n\nExperience with perception systems for robotics, autonomous vehicles, drones, or aerospace platforms\n\nExperience working with real sensor data and operational deployment constraints\n\nStrong understanding of camera systems, sensor fusion, and state estimation concepts\n\nExperience debugging and improving deployed perception systems using logs, telemetry, or flight data\n\nAbility to operate effectively in fast-moving engineering environments\n\nStrong communication and collaboration skills\n\nBonus Points If You Have:\nExperience with autonomous aircraft or aerial robotics\n\nExperience with landing zone evaluation, terrain classification, or visual navigation systems\n\nBackground in SLAM, visual odometry, or GPS-denied navigation\n\nExperience with embedded or real-time systems\n\nFamiliarity with ROS2 or similar robotics frameworks\n\nExperience deploying perception systems to resource-constrained 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