{"schemaVersion":"jobsearcher.job.v1","id":"e76b4585458c495f5280f75c","url":"https://jobsearcher.com/jobs/e76b4585458c495f5280f75c","canonicalUrl":"https://jobsearcher.com/jobs/e76b4585458c495f5280f75c","title":"Technical Lead, Computer Vision","description":"At Niantic Spatial, we’re building the future of geospatial AI. Powered by a proprietary database of over 30 billion posed images and a groundbreaking third-generation digital map, our mission is to develop spatial intelligence that helps both humans and machines better understand, navigate, and engage with the physical world. Our high-fidelity mapping technology unlocks a new dimension of interaction—laying the foundation for AI to truly comprehend and operate within real-world environments. Join us as we build a living model of the world that people and machines can talk to.As a Tech Lead for the Applied Computer Vision Algorithms Team, you’ll help drive our “Reconstruct”, “Understand” and “Localization” capabilities. This team is responsible for creating the high-fidelity visual and semantic maps—specifically textured, semantic meshes, and Gaussian Splats— as well as localization maps that allow our Large Geospatial Model (LGM) to perceive the world with human-like precision. Closely working with the R&D and product teams your work will bridge the gap between cutting-edge theory and real-world utility, turning complex geospatial data into a persistent sense of space for the next generation of AI and robotics.Job ResponsibilitiesApplied Research & Implementation: Actively translate top-tier research papers (e.g., from CVPR, ECCV, NeurIPS) into production-grade features within our tech stack.Technical Leadership: Lead the design and implementation of 3D reconstruction pipelines, focusing on Structure from Motion (SfM) and high-fidelity mesh generation as well as 3D gaussian splats.Algorithm Optimization: Develop and optimize Gaussian Splatting quality algorithms and general ML code for high-performance execution on CPU and GPU.Production Implementation: Write and maintain high-performance, shader-based production code in C++ for Android and Linux environments.Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar.Cross-Functional Collaboration: Partner with the Research and Spatial Solutions teams to turn strategic goals into actionable plans.Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.Job RequirementsYears of Experience: 8+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 6+ years with a PhD in a relevant domain).Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.Core Technical Skills: Strong proficiency in C/C++ and Python for production-level software development.Specialized Expertise: Proven experience in 3D Computer Vision/ML, specifically with Structure from Motion (SfM), 3D reconstruction, and Gaussian Splatting rendering techniques.Hardware Optimization: Demonstrated ability to optimize algorithms for GPUs in Android or Linux environments.Graphics Knowledge: Experience with computer graphics and C++ shader-based implementations.Technical Leadership Experience: Previous experience tech leading a team of computer vision engineers in a high-growth environment.Work Location: This position requires 3 days per week in our San Francisco OR Sunnyvale office.","company":"Niantic Spatial","rawCompany":"niantic spatial","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:47:13.947Z","occupations":[{"code":"15-1299.02","title":"Geographic Information Systems Technologists and Technicians","slug":"geographic-information-systems-technologists-and-technicians"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541370","title":"Surveying and Mapping (except Geophysical) Services","slug":"surveying-and-mapping-except-geophysical-services"},{"code":"541360","title":"Geophysical Surveying and Mapping Services","slug":"geophysical-surveying-and-mapping-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Lead, Computer Vision","description":"At Niantic Spatial, we’re building the future of geospatial AI. Powered by a proprietary database of over 30 billion posed images and a groundbreaking third-generation digital map, our mission is to develop spatial intelligence that helps both humans and machines better understand, navigate, and engage with the physical world. Our high-fidelity mapping technology unlocks a new dimension of interaction—laying the foundation for AI to truly comprehend and operate within real-world environments. Join us as we build a living model of the world that people and machines can talk to.As a Tech Lead for the Applied Computer Vision Algorithms Team, you’ll help drive our “Reconstruct”, “Understand” and “Localization” capabilities. This team is responsible for creating the high-fidelity visual and semantic maps—specifically textured, semantic meshes, and Gaussian Splats— as well as localization maps that allow our Large Geospatial Model (LGM) to perceive the world with human-like precision. Closely working with the R&D and product teams your work will bridge the gap between cutting-edge theory and real-world utility, turning complex geospatial data into a persistent sense of space for the next generation of AI and robotics.Job ResponsibilitiesApplied Research & Implementation: Actively translate top-tier research papers (e.g., from CVPR, ECCV, NeurIPS) into production-grade features within our tech stack.Technical Leadership: Lead the design and implementation of 3D reconstruction pipelines, focusing on Structure from Motion (SfM) and high-fidelity mesh generation as well as 3D gaussian splats.Algorithm Optimization: Develop and optimize Gaussian Splatting quality algorithms and general ML code for high-performance execution on CPU and GPU.Production Implementation: Write and maintain high-performance, shader-based production code in C++ for Android and Linux environments.Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar.Cross-Functional Collaboration: Partner with the Research and Spatial Solutions teams to turn strategic goals into actionable plans.Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.Job RequirementsYears of Experience: 8+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 6+ years with a PhD in a relevant domain).Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.Core Technical Skills: Strong proficiency in C/C++ and Python for production-level software development.Specialized Expertise: Proven experience in 3D Computer Vision/ML, specifically with Structure from Motion (SfM), 3D reconstruction, and Gaussian Splatting rendering techniques.Hardware Optimization: Demonstrated ability to optimize algorithms for GPUs in Android or Linux environments.Graphics Knowledge: Experience with computer graphics and C++ shader-based implementations.Technical Leadership Experience: Previous experience tech leading a team of computer vision engineers in a high-growth environment.Work Location: This position requires 3 days per week in our San Francisco OR Sunnyvale office.","datePosted":"2026-04-09T15:47:13.947Z","dateModified":"2026-04-09T15:47:13.947Z","hiringOrganization":{"@type":"Organization","name":"Niantic Spatial","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e76b4585458c495f5280f75c"},"url":"https://jobsearcher.com/jobs/e76b4585458c495f5280f75c"}}