Technical Lead, Computer Vision

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 Responsibilities Applied 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 Requirements Years 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.

{
  "content_hash": "e14fd48d3822e08fcf032903fd1feef9570f4c834f486f65d0c8f77e75b43dee",
  "source_hash": "1c88e6c9dd0105dd7d20edaa609174418e9a550ff05a7f34a6963cc083781063",
  "last_changed_at": "2026-05-29T07:06:16.593Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "San Francisco, CA",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-18T10:27:12.093Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, CA",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}

{}

{
  "id": "7d21bc69-aeb7-4c9d-84bd-98b9680313e3",
  "team": "Engineering",
  "title": "Technical Lead, Computer Vision",
  "jobUrl": "https://jobs.ashbyhq.com/niantic-spatial/7d21bc69-aeb7-4c9d-84bd-98b9680313e3",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/niantic-spatial/7d21bc69-aeb7-4c9d-84bd-98b9680313e3/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco, CA",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "Sunnyvale, CA"
    }
  ]
}