{"schemaVersion":"jobsearcher.job.v1","id":"b667ebb6696dbe6cc177ff9f","url":"https://jobsearcher.com/jobs/b667ebb6696dbe6cc177ff9f","canonicalUrl":"https://jobsearcher.com/jobs/b667ebb6696dbe6cc177ff9f","title":"Senior Perception Engineer","description":"About AIM Intelligent Machines\nCurious if you want to terraform earth?\n\nEverything humanity depends on is mined, dug, or grown. At AIM, we are building the autonomous linchpin of civilization. We transform heavy machinery—bulldozers, loaders, excavators—into AI-powered fleets that operate continuously, safely, and at peak performance in the world’s harshest environments.\n\nAIM runs production mines, large scale infrastructure builds, and defense operations as a TRL9 hardened system, not a science experiment. We have been automating this massive space with embodied AI and emerged as the market choice for ground engagement autonomy.\n\nBuilt by engineers from mining, construction, Waymo, SpaceX, Google and Tesla, AIM enables scalable earthmoving, turbocharging the global economy’s physical foundation. AIM is backed by some of the most sophisticated capital in the world, including General Catalyst, Khosla Ventures, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC.\n\nAbout You\nYou’re an engineer who loves solving difficult perception problems where machine learning meets the physical world.\n\nYou have experience building production machine learning systems that operate on real hardware, not just in research environments. You understand how perception algorithms behave under real‑world constraints such as sensor noise, environmental variability, limited compute, and incomplete data.\n\nYou enjoy working across the full perception stack - from sensor data ingestion and calibration, through model development and training, to deployment on edge compute and real‑time inference pipelines.\n\nYou take ownership of outcomes, not just models. You debug deeply, validate rigorously, and iterate quickly using field data to continuously improve system performance.\n\nYou’re motivated by building perception systems that enable safe, reliable autonomy in environments where failure is not acceptable.\n\nAs a Senior Perception Machine Learning Engineer, you will design, develop, and deploy the perception systems that allow AIM’s autonomous machines to understand and interact with their environment.\n\nResponsibilities\n\nDesign & Advance Perception Systems\n\nArchitect and develop perception algorithms for scene understanding, obstacle detection, terrain modeling, and machine awareness.\n\nAdvance AIM’s perception stack including sensor fusion, environment modeling, and machine‑centric perception pipelines.\n\nDevelop algorithms that operate reliably in complex, dynamic earthmoving environments.\n\nBuild Production Machine Learning Systems\n\nDevelop and deploy machine learning models for perception tasks including object detection, segmentation, depth estimation, and terrain understanding.\n\nOptimize models for real‑time inference on edge compute platforms.\n\nBuild scalable data pipelines for training, evaluation, and model iteration.\n\nIntegrate Perception with the Autonomy Stack\n\nCollaborate with robotics, controls, systems, and software teams to integrate perception outputs into planning and control systems.\n\nEnsure perception systems interact correctly with localization, SLAM, mapping, and safety systems.\n\nDesign perception interfaces that are robust, testable, and observable.\n\nAdvance AIM’s perception stack and sensor fusion algorithms.\n\nThis involves breaking new ground as earth moving machines don’t merely navigate on existing mapped roads – they modify and build the environment as they work which poses interesting novel challenges.\n\nResearch and development of state‑of‑the‑art machine learning methods.\n\nComfortable with hands‑on applications on machines deployed in the field.\n\nApply real‑world experience with localization and SLAM state‑of‑the‑art methods.\n\nQualifications\nCore ML Fundamentals\n\nExperience designing, training, and evaluating machine learning models.\n\nStrong understanding of the mathematics behind training (optimization, gradients, regularization, bias–variance tradeoff).\n\nFamiliarity with training dynamics (overfitting, underfitting, convergence issues, data imbalance).\n\nExcellent grasp of machine perception methods in 2D and 3D (depth sensing).\n\nExperience with perception sensor calibration techniques (camera, lidar, radar, etc.).\n\nComputer Vision Fundamentals\n\nExperience working on real‑world computer vision problems (classification, detection, segmentation, tracking, etc.).\n\nUnderstanding of image representations, augmentations, and data preprocessing strategies.\n\nAwareness of common architectures and when to use them (CNNs, transformers, hybrid approaches).\n\nAbility to reason about evaluation metrics and tradeoffs (precision/recall, mAP, IoU, etc.).\n\nProven track record of deployed ML‑based perception systems, ideally on autonomous vehicles.\n\nOverall Engineering Skillset\n\nExperience shipping production models.\n\nExcellent software development skills in python.\n\nProficiency in Tensorflow, PyTorch, Python, C++.\n\nCreativity and curiosity for solving complex problems.\n\nWhy AIM?\nJoining AIM, You Will\n\nSolve a massive set of real‑world problems that require scalable earth moving.\n\nAccomplish that via deploying and expanding cutting edge tech.\n\nRun your workstreams with the largest degree of autonomy.\n\nHave an opportunity for rapid growth and a large voice on the direction of the company.\n\nReceive company funded medical, dental, vision, 401k, life insurance, gourmet food & perks.\n\nExperience a strong onsite collaboration (AIM offices, labs and proving grounds on the east side of the Greater Seattle area).\n\nHave an opportunity to travel to unique sites around the world (Americas, Australia, Africa & more).\n\n#J-18808-Ljbffr","company":"Gravity Engineering Services","rawCompany":"gravity engineering services","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:29:31.911Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Perception Engineer","description":"About AIM Intelligent Machines\nCurious if you want to terraform earth?\n\nEverything humanity depends on is mined, dug, or grown. At AIM, we are building the autonomous linchpin of civilization. We transform heavy machinery—bulldozers, loaders, excavators—into AI-powered fleets that operate continuously, safely, and at peak performance in the world’s harshest environments.\n\nAIM runs production mines, large scale infrastructure builds, and defense operations as a TRL9 hardened system, not a science experiment. We have been automating this massive space with embodied AI and emerged as the market choice for ground engagement autonomy.\n\nBuilt by engineers from mining, construction, Waymo, SpaceX, Google and Tesla, AIM enables scalable earthmoving, turbocharging the global economy’s physical foundation. AIM is backed by some of the most sophisticated capital in the world, including General Catalyst, Khosla Ventures, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC.\n\nAbout You\nYou’re an engineer who loves solving difficult perception problems where machine learning meets the physical world.\n\nYou have experience building production machine learning systems that operate on real hardware, not just in research environments. You understand how perception algorithms behave under real‑world constraints such as sensor noise, environmental variability, limited compute, and incomplete data.\n\nYou enjoy working across the full perception stack - from sensor data ingestion and calibration, through model development and training, to deployment on edge compute and real‑time inference pipelines.\n\nYou take ownership of outcomes, not just models. You debug deeply, validate rigorously, and iterate quickly using field data to continuously improve system performance.\n\nYou’re motivated by building perception systems that enable safe, reliable autonomy in environments where failure is not acceptable.\n\nAs a Senior Perception Machine Learning Engineer, you will design, develop, and deploy the perception systems that allow AIM’s autonomous machines to understand and interact with their environment.\n\nResponsibilities\n\nDesign & Advance Perception Systems\n\nArchitect and develop perception algorithms for scene understanding, obstacle detection, terrain modeling, and machine awareness.\n\nAdvance AIM’s perception stack including sensor fusion, environment modeling, and machine‑centric perception pipelines.\n\nDevelop algorithms that operate reliably in complex, dynamic earthmoving environments.\n\nBuild Production Machine Learning Systems\n\nDevelop and deploy machine learning models for perception tasks including object detection, segmentation, depth estimation, and terrain understanding.\n\nOptimize models for real‑time inference on edge compute platforms.\n\nBuild scalable data pipelines for training, evaluation, and model iteration.\n\nIntegrate Perception with the Autonomy Stack\n\nCollaborate with robotics, controls, systems, and software teams to integrate perception outputs into planning and control systems.\n\nEnsure perception systems interact correctly with localization, SLAM, mapping, and safety systems.\n\nDesign perception interfaces that are robust, testable, and observable.\n\nAdvance AIM’s perception stack and sensor fusion algorithms.\n\nThis involves breaking new ground as earth moving machines don’t merely navigate on existing mapped roads – they modify and build the environment as they work which poses interesting novel challenges.\n\nResearch and development of state‑of‑the‑art machine learning methods.\n\nComfortable with hands‑on applications on machines deployed in the field.\n\nApply real‑world experience with localization and SLAM state‑of‑the‑art methods.\n\nQualifications\nCore ML Fundamentals\n\nExperience designing, training, and evaluating machine learning models.\n\nStrong understanding of the mathematics behind training (optimization, gradients, regularization, bias–variance tradeoff).\n\nFamiliarity with training dynamics (overfitting, underfitting, convergence issues, data imbalance).\n\nExcellent grasp of machine perception methods in 2D and 3D (depth sensing).\n\nExperience with perception sensor calibration techniques (camera, lidar, radar, etc.).\n\nComputer Vision Fundamentals\n\nExperience working on real‑world computer vision problems (classification, detection, segmentation, tracking, etc.).\n\nUnderstanding of image representations, augmentations, and data preprocessing strategies.\n\nAwareness of common architectures and when to use them (CNNs, transformers, hybrid approaches).\n\nAbility to reason about evaluation metrics and tradeoffs (precision/recall, mAP, IoU, etc.).\n\nProven track record of deployed ML‑based perception systems, ideally on autonomous vehicles.\n\nOverall Engineering Skillset\n\nExperience shipping production models.\n\nExcellent software development skills in python.\n\nProficiency in Tensorflow, PyTorch, Python, C++.\n\nCreativity and curiosity for solving complex problems.\n\nWhy AIM?\nJoining AIM, You Will\n\nSolve a massive set of real‑world problems that require scalable earth moving.\n\nAccomplish that via deploying and expanding cutting edge tech.\n\nRun your workstreams with the largest degree of autonomy.\n\nHave an opportunity for rapid growth and a large voice on the direction of the company.\n\nReceive company funded medical, dental, vision, 401k, life insurance, gourmet food & perks.\n\nExperience a strong onsite collaboration (AIM offices, labs and proving grounds on the east side of the Greater Seattle area).\n\nHave an opportunity to travel to unique sites around the world (Americas, Australia, Africa & more).\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:29:31.911Z","dateModified":"2026-07-16T03:29:31.911Z","hiringOrganization":{"@type":"Organization","name":"Gravity Engineering Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b667ebb6696dbe6cc177ff9f"},"url":"https://jobsearcher.com/jobs/b667ebb6696dbe6cc177ff9f"}}