{"id":438324,"url":"https://alion.io/job/niantic-spatial-technical-lead-computer-vision","title":"Staff/Senior Staff Computer Vision Engineer - Map team","company":{"id":171874,"name":"Niantic Spatial","domain":"nianticspatial.com","url":"https://alion.io/company/niantic-spatial","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":256500,"max":315000,"currency":"USD","period":"year","gross":null,"usd_annual":315000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Gaussian Splatting","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-03-06T18:39:37Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-31T08:22:06Z","board_verified":true,"closed_at":null,"days_open":238,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":238},"description":"About Niantic Spatial\nAI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.\nThat’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.\nIn physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.\nOur team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.\nThe opportunity\nAs a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world.\nThis is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap.\nWhat you will do\nTechnical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats).\n\nApplied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team.\n\nSystem Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines.\n\nAlgorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system.\n\nQuality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.\n\nTechnical 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.\n\nCross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences.\n\nWhat we are looking for\nYears of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain).\n\nEducation: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.\n\nCore Technical Skills: Strong proficiency in Python and/or C/C++.\n\nSpecialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML.\n\nFull SW lifecycle experience: Demonstrated experience in taking research into production at scale.\n\nTechnical Leadership Experience: Previous experience tech leading computer vision projects.\n\nCompensation & Benefits\nThe expected salary range for this role is $256,500 - $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.\nLocation & Work Model\nThis role is based in our San Francisco or Sunnyvale office, with three days per week in office.\nInclusive Application\nWe know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for.\nEqual Opportunity\nNiantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.\nCandidate Privacy\nI understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.","description_format":"text","description_chars":5597,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotic Software & Control Systems","Space & Aerospace","Earth Observation","Industrial IoT (IIoT)"],"lifecycle":[{"event":"open","at":"2026-09-06T07:17:44Z"},{"event":"close","at":"2026-09-17T15:48:26Z"},{"event":"reopen","at":"2026-09-18T01:33:13Z"},{"event":"close","at":"2026-10-15T17:47:40Z"},{"event":"reopen","at":"2026-10-22T19:40:21Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 9","filings_12m":9,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":172500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":8}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.481,"p_room":0.28,"age_days":238,"expected_fill_days":60,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":315000,"is_top_pay":true},"html_url":"https://alion.io/job/niantic-spatial-technical-lead-computer-vision","json_url":"https://alion.io/job/niantic-spatial-technical-lead-computer-vision.json","meta":{"generated_at":"2026-10-31T09:51:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14975,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":171874},"rest":"https://alion.io/mcp/rest/get_company?id=171874"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fniantic-spatial-technical-lead-computer-vision"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fniantic-spatial-technical-lead-computer-vision"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fniantic-spatial-technical-lead-computer-vision"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/niantic-spatial-technical-lead-computer-vision\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fniantic-spatial-technical-lead-computer-vision"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":438324}},{"tool":"search_jobs","arguments":{"company":"nianticspatial.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":438324},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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