{"schemaVersion":"jobsearcher.job.v1","id":"a8dd2cf27cd99cd8010d9d51","url":"https://jobsearcher.com/jobs/a8dd2cf27cd99cd8010d9d51","canonicalUrl":"https://jobsearcher.com/jobs/a8dd2cf27cd99cd8010d9d51","title":"Senior Machine Learning Engineer, Perception - Autonomous Driving","description":"OverviewIn this role, you will design, train, and optimize ML models for LiDAR/camera perception and multi-sensor fusion on NVIDIA DRIVE AV. You'll build end-to-end ML workflows, from data pipelines to production-grade code in C++. You will stay at the forefront of ML innovations, collaborating with cross-functional teams to deliver reliable perception solutions for autonomous driving. This is an opportunity to shape perception capabilities at scale in a safety-critical domain.Compensation / Benefitsequitybenefitssalary rangecareer growthglobal impactinclusive environmentResponsibilitiesDesign, train, and optimize ML models for LiDAR/camera perception and multi-sensor fusion (detection, classification, segmentation, tracking)Develop and coordinate ML workflows: data pipelines, training, metrics, performance instrumentation, reportingProductize models for production on the DRIVE AV platform with efficient C++ codeStay updated on ML developments and apply techniques to improve platform performanceCollaborate with LiDAR/camera teams and engineers to translate ideas into reliable autonomous driving solutionsKey requirements8+ years of relevant industry ML experienceStrong C++ and Python programming skills for large, complex systemsHands-on experience applying ML to LiDAR/camera perception and multi-sensor fusion in automotiveExperience with deep learning frameworks (PyTorch, TensorFlow) and solid math foundations in MLExperience building training and metrics workflows for large-scale datasetsExcellent communication and analytical skills; self-motivated to solve hard problemscommunicationanalytical thinkingcollaborationPyTorchTensorFlowC++","company":"NVIDIA","rawCompany":"nvidia","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:11:58.754Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"336110","title":"Automobile and Light Duty Motor Vehicle Manufacturing","slug":"automobile-and-light-duty-motor-vehicle-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer, Perception - Autonomous Driving","description":"OverviewIn this role, you will design, train, and optimize ML models for LiDAR/camera perception and multi-sensor fusion on NVIDIA DRIVE AV. You'll build end-to-end ML workflows, from data pipelines to production-grade code in C++. You will stay at the forefront of ML innovations, collaborating with cross-functional teams to deliver reliable perception solutions for autonomous driving. This is an opportunity to shape perception capabilities at scale in a safety-critical domain.Compensation / Benefitsequitybenefitssalary rangecareer growthglobal impactinclusive environmentResponsibilitiesDesign, train, and optimize ML models for LiDAR/camera perception and multi-sensor fusion (detection, classification, segmentation, tracking)Develop and coordinate ML workflows: data pipelines, training, metrics, performance instrumentation, reportingProductize models for production on the DRIVE AV platform with efficient C++ codeStay updated on ML developments and apply techniques to improve platform performanceCollaborate with LiDAR/camera teams and engineers to translate ideas into reliable autonomous driving solutionsKey requirements8+ years of relevant industry ML experienceStrong C++ and Python programming skills for large, complex systemsHands-on experience applying ML to LiDAR/camera perception and multi-sensor fusion in automotiveExperience with deep learning frameworks (PyTorch, TensorFlow) and solid math foundations in MLExperience building training and metrics workflows for large-scale datasetsExcellent communication and analytical skills; self-motivated to solve hard problemscommunicationanalytical thinkingcollaborationPyTorchTensorFlowC++","datePosted":"2026-10-26T13:11:58.754Z","dateModified":"2026-10-26T13:11:58.754Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a8dd2cf27cd99cd8010d9d51"},"url":"https://jobsearcher.com/jobs/a8dd2cf27cd99cd8010d9d51"}}