{"schemaVersion":"jobsearcher.job.v1","id":"4a8d4e26b50fcc1f5fdbf1fb","url":"https://jobsearcher.com/jobs/4a8d4e26b50fcc1f5fdbf1fb","canonicalUrl":"https://jobsearcher.com/jobs/4a8d4e26b50fcc1f5fdbf1fb","title":"Perception Engineer","description":"Perception EngineerProduction Computer Vision • NVIDIA Edge SystemsSan Francisco, CA | 4 days onsite, 1 day remote$220,000-$270,000 base + competitive equity | Full-time | Relocation availableBuild perception systems that bring advances in autonomous robotics and self-driving technology to residential security.Our client is an early-stage startup with $18M raised and a team of approximately 25. Its home security platform is already deployed in the field through active beta programs. The team is looking for a hands-on Perception Engineer to take ownership of the perception stack and improve how the system detects, tracks, and understands activity around a home.What You'll OwnYou'll work across models, video pipelines, and edge deployment, turning computer vision capabilities into reliable features running on NVIDIA hardware.Scale the perception pipeline: Re-architect the existing service on NVIDIA Thor to support more camera streams and improve stability.Improve real-time performance: Evaluate and deploy faster, more capable models within edge compute constraints.Add depth and tracking capabilities: Bring monocular depth estimation into production to support 3D tracking of people and vehicles.Optimize the NVIDIA stack: Work with DeepStream, JetPack, and TensorRT to improve inference and video processing.Ship across the system: Partner with device and systems engineers to deliver improvements to deployed hardware.This is an individual contributor role with substantial technical ownership.What You BringApproximately 3-7 years of relevant experience, including ownership of production perception or computer vision systems.Strong C++ and Python skills and experience writing production software.Hands-on experience with NVIDIA DeepStream, JetPack, and TensorRT, ideally deploying on Jetson Thor or Orin.Production experience with GStreamer and/or FFmpeg video pipelines.Applied computer vision and deep learning experience, including model deployment, PyTorch, multi-object tracking, and multi-camera association.Experience making architecture and performance decisions for systems deployed on edge hardware.A background in a safety-critical field such as robotics, autonomous vehicles, aerospace, medical devices, or physical security.A BS or MS in Computer Science, or equivalent experience.The strongest candidates can explain what they built, the tradeoffs they made, and how their systems performed after deployment.Compensation & Benefits$220,000-$270,000 base salary, with flexibility for exceptional candidatesCompetitive seed-stage equityRelocation assistanceHealth insurance, 401(k), commuter benefits, and fertility benefitsCandidates on OPT or seeking an H-1B transfer may be considered. New visa sponsorship is not available.Interview ProcessHiring manager conversation - 30 minutes, virtual: Your experience, ownership approach, and interest in an early-stage team.Technical conversation - 45 minutes, virtual: A project deep dive and live perception/ML problem-solving, rather than LeetCode-style exercises.Onsite interviews - San Francisco: Four sessions covering perception and ML, device and video pipelines, system design and software engineering, and collaboration and leadership.","company":"MRINetwork","rawCompany":"mrinetwork","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-05T13:13:46.012Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Perception Engineer","description":"Perception EngineerProduction Computer Vision • NVIDIA Edge SystemsSan Francisco, CA | 4 days onsite, 1 day remote$220,000-$270,000 base + competitive equity | Full-time | Relocation availableBuild perception systems that bring advances in autonomous robotics and self-driving technology to residential security.Our client is an early-stage startup with $18M raised and a team of approximately 25. Its home security platform is already deployed in the field through active beta programs. The team is looking for a hands-on Perception Engineer to take ownership of the perception stack and improve how the system detects, tracks, and understands activity around a home.What You'll OwnYou'll work across models, video pipelines, and edge deployment, turning computer vision capabilities into reliable features running on NVIDIA hardware.Scale the perception pipeline: Re-architect the existing service on NVIDIA Thor to support more camera streams and improve stability.Improve real-time performance: Evaluate and deploy faster, more capable models within edge compute constraints.Add depth and tracking capabilities: Bring monocular depth estimation into production to support 3D tracking of people and vehicles.Optimize the NVIDIA stack: Work with DeepStream, JetPack, and TensorRT to improve inference and video processing.Ship across the system: Partner with device and systems engineers to deliver improvements to deployed hardware.This is an individual contributor role with substantial technical ownership.What You BringApproximately 3-7 years of relevant experience, including ownership of production perception or computer vision systems.Strong C++ and Python skills and experience writing production software.Hands-on experience with NVIDIA DeepStream, JetPack, and TensorRT, ideally deploying on Jetson Thor or Orin.Production experience with GStreamer and/or FFmpeg video pipelines.Applied computer vision and deep learning experience, including model deployment, PyTorch, multi-object tracking, and multi-camera association.Experience making architecture and performance decisions for systems deployed on edge hardware.A background in a safety-critical field such as robotics, autonomous vehicles, aerospace, medical devices, or physical security.A BS or MS in Computer Science, or equivalent experience.The strongest candidates can explain what they built, the tradeoffs they made, and how their systems performed after deployment.Compensation & Benefits$220,000-$270,000 base salary, with flexibility for exceptional candidatesCompetitive seed-stage equityRelocation assistanceHealth insurance, 401(k), commuter benefits, and fertility benefitsCandidates on OPT or seeking an H-1B transfer may be considered. New visa sponsorship is not available.Interview ProcessHiring manager conversation - 30 minutes, virtual: Your experience, ownership approach, and interest in an early-stage team.Technical conversation - 45 minutes, virtual: A project deep dive and live perception/ML problem-solving, rather than LeetCode-style exercises.Onsite interviews - San Francisco: Four sessions covering perception and ML, device and video pipelines, system design and software engineering, and collaboration and leadership.","datePosted":"2026-10-05T13:13:46.012Z","dateModified":"2026-10-05T13:13:46.012Z","hiringOrganization":{"@type":"Organization","name":"MRINetwork","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4a8d4e26b50fcc1f5fdbf1fb"},"url":"https://jobsearcher.com/jobs/4a8d4e26b50fcc1f5fdbf1fb"}}