{"schemaVersion":"jobsearcher.job.v1","id":"005d259c28242954bf6d1ab6","url":"https://jobsearcher.com/jobs/005d259c28242954bf6d1ab6","canonicalUrl":"https://jobsearcher.com/jobs/005d259c28242954bf6d1ab6","title":"Perception Engineer (Computer Vision, Machine Learning)","description":"Zeitview is the leading intelligent aerial imaging company for high-value infrastructure, providing businesses with actionable, real-time insights to recover revenue, reduce risk and improve build quality. We serve customers in the solar, wind, insurance, construction, real estate, and critical infrastructure industries. Trusted by the largest enterprises in the world, Zeitview is active in over 70 countries.\nWe are seeking a highly skilled and motivated Perception Engineer to join our dynamic team. As a Perception Engineer, you will play a crucial role in developing cutting-edge algorithms and systems for Computer Vision, 3D reconstruction, SLAM and Machine Learning. The ideal candidate will have a strong background in computer programming, possess expertise in 3D computer vision, and demonstrate proficiency in advanced machine learning techniques.\nResponsibilities:\nDevelop and implement advanced 3D reconstruction algorithms i.e SLAM or Structure From Motion.\nApplying machine learning techniques to improve perception systems.\nPerform various multi-modal sensor calibration processes\nCollaborate with various engineering teams to integrate perception algorithms into our products.\nConduct testing and validation of perception systems to ensure accuracy and reliability.\nStay up-to-date with the latest advancements in Computer Vision.\nHandle high-speed visual control and estimation of aerial/ground vehicles.\nWrite algorithms for obstacle avoidance and trajectory generation.\nDevelop and implement image/cloud processing techniques for enhanced visual perception.\nRequired Qualifications:\nBachelor’s degree in Engineering, Computer Science, or a related field.\nProven experience with visual SLAM, multiple view geometry, and 3D reconstruction.\nHands on experience with pose estimation, Bayesian filters, and sensor fusion.\nGood working knowledge of traditional deep learning techniques and frameworks, including CNNs, RNNS, Autoencoders etc.\nExcellent in linear algebra and nonlinear optimization\nExperience with multi modal sensor calibration\nExperience with path planning and trajectory generation\nExcellent problem-solving abilities and attention to detail.\nStrong communication and teamwork skills.\nSolid scientific training and analytical skills.\nExperience with image / point cloud processing.\nContinuous learning mindset and a desire to write technical documents, including publishing research papers.\nPreferred Qualifications:\nMasters/PhD degree in Engineering, Computer Science, or a related field.\nProven experience in various SLAM techniques, including Visual SLAM, LiDAR SLAM, Neural SLAM and Visual-Inertial SLAM etc.\nWorking knowledge of advanced machine learning techniques and frameworks such as vision transformers, diffusion models and their applications.\nExperience with Mesh processing and computer graphics\nExperience with advanced 3D representation techniques such as Neural Radiance Fields (NeRF) and Gaussian Splatting.\nBenefits:\nWork with the leading intelligent aerial imaging company with established, successful relationships across myriad industries\nMedical insurance covered up to 100% depending the plan chosen\nDental & vision insurance\nFlexible time off\nStock incentive program\nWork from home environment\nAutonomy and upward mobility\nDiverse, equitable, and inclusive culture, where your voice matters","company":"Zeitview","rawCompany":"zeitview","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:39:52.619Z","occupations":[{"code":"17-2051.00","title":"Civil Engineers","slug":"civil-engineers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541360","title":"Geophysical Surveying and Mapping Services","slug":"geophysical-surveying-and-mapping-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Perception Engineer (Computer Vision, Machine Learning)","description":"Zeitview is the leading intelligent aerial imaging company for high-value infrastructure, providing businesses with actionable, real-time insights to recover revenue, reduce risk and improve build quality. We serve customers in the solar, wind, insurance, construction, real estate, and critical infrastructure industries. Trusted by the largest enterprises in the world, Zeitview is active in over 70 countries.\nWe are seeking a highly skilled and motivated Perception Engineer to join our dynamic team. As a Perception Engineer, you will play a crucial role in developing cutting-edge algorithms and systems for Computer Vision, 3D reconstruction, SLAM and Machine Learning. The ideal candidate will have a strong background in computer programming, possess expertise in 3D computer vision, and demonstrate proficiency in advanced machine learning techniques.\nResponsibilities:\nDevelop and implement advanced 3D reconstruction algorithms i.e SLAM or Structure From Motion.\nApplying machine learning techniques to improve perception systems.\nPerform various multi-modal sensor calibration processes\nCollaborate with various engineering teams to integrate perception algorithms into our products.\nConduct testing and validation of perception systems to ensure accuracy and reliability.\nStay up-to-date with the latest advancements in Computer Vision.\nHandle high-speed visual control and estimation of aerial/ground vehicles.\nWrite algorithms for obstacle avoidance and trajectory generation.\nDevelop and implement image/cloud processing techniques for enhanced visual perception.\nRequired Qualifications:\nBachelor’s degree in Engineering, Computer Science, or a related field.\nProven experience with visual SLAM, multiple view geometry, and 3D reconstruction.\nHands on experience with pose estimation, Bayesian filters, and sensor fusion.\nGood working knowledge of traditional deep learning techniques and frameworks, including CNNs, RNNS, Autoencoders etc.\nExcellent in linear algebra and nonlinear optimization\nExperience with multi modal sensor calibration\nExperience with path planning and trajectory generation\nExcellent problem-solving abilities and attention to detail.\nStrong communication and teamwork skills.\nSolid scientific training and analytical skills.\nExperience with image / point cloud processing.\nContinuous learning mindset and a desire to write technical documents, including publishing research papers.\nPreferred Qualifications:\nMasters/PhD degree in Engineering, Computer Science, or a related field.\nProven experience in various SLAM techniques, including Visual SLAM, LiDAR SLAM, Neural SLAM and Visual-Inertial SLAM etc.\nWorking knowledge of advanced machine learning techniques and frameworks such as vision transformers, diffusion models and their applications.\nExperience with Mesh processing and computer graphics\nExperience with advanced 3D representation techniques such as Neural Radiance Fields (NeRF) and Gaussian Splatting.\nBenefits:\nWork with the leading intelligent aerial imaging company with established, successful relationships across myriad industries\nMedical insurance covered up to 100% depending the plan chosen\nDental & vision insurance\nFlexible time off\nStock incentive program\nWork from home environment\nAutonomy and upward mobility\nDiverse, equitable, and inclusive culture, where your voice matters","datePosted":"2026-04-12T20:39:52.619Z","dateModified":"2026-04-12T20:39:52.619Z","hiringOrganization":{"@type":"Organization","name":"Zeitview","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"005d259c28242954bf6d1ab6"},"url":"https://jobsearcher.com/jobs/005d259c28242954bf6d1ab6"}}