---
title: "Technical Lead, Computer Vision"
company: "Niantic Spatial"
company_url: "https://www.remjobs.works/companies/niantic-spatial"
url: "https://www.remjobs.works/job/niantic-spatial-technical-lead-computer-vision-ed90b651-cac0-4183-9ecc-77242a2a4bdc"
apply_url: "https://jobs.ashbyhq.com/niantic-spatial/7d21bc69-aeb7-4c9d-84bd-98b9680313e3"
workplace: hybrid
location: "San Francisco, CA"
employment_type: full-time
seniority: lead
role: ai-machine-learning
region: united-states
skills: ["computer-vision", "cpp", "linux", "python"]
salary: "$256,500–$315,000 per year"
date_posted: 2026-09-18T00:52:07.198Z
first_seen_by_remjobs: 2026-09-18T00:59:52.455Z
---

# Technical Lead, Computer Vision

**Niantic Spatial** · San Francisco, CA

Salary: $256,500–$315,000 per year

Apply: https://jobs.ashbyhq.com/niantic-spatial/7d21bc69-aeb7-4c9d-84bd-98b9680313e3

## About Niantic Spatial

Niantic Spatial builds real-world foundational models for physical AI, so people and machines can work efficiently and safely together.

## About the role

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.

---

Source: Niantic Spatial's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/niantic-spatial-technical-lead-computer-vision-ed90b651-cac0-4183-9ecc-77242a2a4bdc