{"schemaVersion":"jobsearcher.job.v1","id":"e82c32f4fd8a68e6b140f5b0","url":"https://jobsearcher.com/jobs/e82c32f4fd8a68e6b140f5b0","canonicalUrl":"https://jobsearcher.com/jobs/e82c32f4fd8a68e6b140f5b0","title":"Senior ML Engineer, Perception","description":"About the Role\n\nLead perception engineering for a defense technology team developing autonomous systems. You will own the perception stack, from detection and tracking to sensor fusion, and help ensure it performs reliably on real hardware in demanding field conditions.\n\nWhat You'll Do\n\nSet the perception architecture for detection, tracking, classification, and sensor fusion.\n\nDevelop ML models and training pipelines, then deploy models to embedded devices.\n\nFuse EO/IR and other sensor data relevant to the system.\n\nOptimize real-time perception performance for embedded compute and latency constraints.\n\nWork closely with robotics, controls, and hardware engineers to deliver practical system capabilities.\n\nMentor perception engineers while contributing directly to implementation.\n\nWhat We're Looking For\n\nAt least 5 years building and shipping perception systems on physical hardware.\n\nStrong Python and production C++ skills, with experience in computer vision, detection, and real-time tracking on live sensor data.\n\nExperience deploying ML models on-device with TensorRT, ONNX, or equivalent, and optimizing for embedded compute and tight latency budgets.\n\nExperience building ML training pipelines through deployment and shipping systems tested against real-world targets.\n\nBackground in perception, robotics, autonomy, aerospace, or defense systems; research-only or offline-only experience is not a fit.\n\nHelpful experience includes aerial target tracking, moving-camera compensation, thermal imagery, EO/IR or other sensor fusion, radar or RF perception, and small or long-range target detection.\n\nBS, MS, PhD, or equivalent experience in computer science, electrical engineering, robotics, or a related field.\n\nCompensation & Benefits\n\nBase salary: $190,000 to $222,000 annually. Visa sponsorship is not available.\n\nLocation\n\nOn-site in San Francisco, California. The role includes field testing.","company":"Clera","rawCompany":"clera","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-08T10:03:59.264Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior ML Engineer, Perception","description":"About the Role\n\nLead perception engineering for a defense technology team developing autonomous systems. You will own the perception stack, from detection and tracking to sensor fusion, and help ensure it performs reliably on real hardware in demanding field conditions.\n\nWhat You'll Do\n\nSet the perception architecture for detection, tracking, classification, and sensor fusion.\n\nDevelop ML models and training pipelines, then deploy models to embedded devices.\n\nFuse EO/IR and other sensor data relevant to the system.\n\nOptimize real-time perception performance for embedded compute and latency constraints.\n\nWork closely with robotics, controls, and hardware engineers to deliver practical system capabilities.\n\nMentor perception engineers while contributing directly to implementation.\n\nWhat We're Looking For\n\nAt least 5 years building and shipping perception systems on physical hardware.\n\nStrong Python and production C++ skills, with experience in computer vision, detection, and real-time tracking on live sensor data.\n\nExperience deploying ML models on-device with TensorRT, ONNX, or equivalent, and optimizing for embedded compute and tight latency budgets.\n\nExperience building ML training pipelines through deployment and shipping systems tested against real-world targets.\n\nBackground in perception, robotics, autonomy, aerospace, or defense systems; research-only or offline-only experience is not a fit.\n\nHelpful experience includes aerial target tracking, moving-camera compensation, thermal imagery, EO/IR or other sensor fusion, radar or RF perception, and small or long-range target detection.\n\nBS, MS, PhD, or equivalent experience in computer science, electrical engineering, robotics, or a related field.\n\nCompensation & Benefits\n\nBase salary: $190,000 to $222,000 annually. Visa sponsorship is not available.\n\nLocation\n\nOn-site in San Francisco, California. The role includes field testing.","datePosted":"2026-11-08T10:03:59.264Z","dateModified":"2026-11-08T10:03:59.264Z","hiringOrganization":{"@type":"Organization","name":"Clera","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e82c32f4fd8a68e6b140f5b0"},"url":"https://jobsearcher.com/jobs/e82c32f4fd8a68e6b140f5b0"}}