Senior Computer Vision Engineer (Localization)
- Location
- San Francisco, CA (Remote)
- Job type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Education
- Bachelor's degree
- Listed
- 30 days ago
Skills & highlights for this role
- Structure from Motion
- visual positioning systems
- 3D reconstruction
- PyTorch
Also useful
- COLMAP
- OpenCV
- CUDA
Responsibilities
- System Architecture: Design, develop, and maintain production-grade computer vision systems that power Niantic Spatial’s VPS (Visual Positioning System) and 3D mapping pipelines.
- Algorithmic Innovation: Refine and scale algorithms for our VPS system including, SfM (Structure from Motion) and Feed Forwards models, efficient feature and descriptor extraction to have the best possible accuracy and recall. Moving algorithms from research concepts to hardened production code that can scale for our map of the world.
- Performance Engineering: Optimize complex ML and CV code for maximum efficiency in cloud and mobile environments, ensuring low latency and high-performance execution on GPU/CPU.
- Benchmarking & Evaluation: Create and own the tools and frameworks used to evaluate the quality of our spatial grounding and 3D maps against ground-truth data.
- Technical Leadership: Lead technical design reviews, mentor junior engineers, and serve as a team anchor for resolving complex technical disagreements within the mapping stack.
- Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art computer vision solutions translate into delightful user experiences.
Requirements
- Education: BS, MS, or PhD in Computer Science, Robotics, Computer Vision, or a related technical field (or equivalent professional experience).
- Years of Experience: 5+ years of experience developing and shipping algorithms for image processing, computer vision, or 3D reconstruction.
- Coding Proficiency: Expert-level proficiency in python and/or C++.
- Domain Expertise: Proven track record in designing solutions for Structure from Motion (SfM), VPS or 3D mapping..
- Frameworks & Tools: Deep experience with Deep Learning frameworks (PyTorch or JAX) and version control (Git).
- Required in-office days: 3 days per week
Plus If
- Experience in planning and leading technical projects from inception to production.
- Significant contributions to open-source CV libraries (OpenCV, COLMAP, etc.).
- Experience with CUDA or shader programming for performance optimization.
About Niantic Spatial
At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment. Join us as we build the real-world foundational models for physical AI, so people and machines can work efficiently and safely together.
As a Senior Computer Vision Engineer on the Applied Algorithms team, you will own significant parts of our Localization technology. As a member of this team, you will be responsible for building the Map representing a living geospatial world model, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. Part of the role will be bridging the gap between R&D and production, turning complex geospatial data into a persistent sense of space and enabling the next generation of spatial AI.
Equal opportunity and legal notices
I 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
If required by law, by submitting my job application I consent to the processing of my information as described in that Notice, including processing information I voluntarily disclose to Niantic Spatial, such as health or medical information, race or ethnicity data, and sexual orientation data and, in limited circumstances sharing information with third parties such as references and other third parties that assist in the hiring process.
Niantic 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.
From Niantic Spatial's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Senior Computer Vision Engineer (Localization) job at Niantic Spatial located?
Yes, this Senior Computer Vision Engineer (Localization) opening at Niantic Spatial is listed as San Francisco, CA (Remote). Always check Niantic Spatial's application page for specific state eligibility or relocation policies.
What qualifications are required for Senior Computer Vision Engineer (Localization) at Niantic Spatial?
For the Senior Computer Vision Engineer (Localization) role, Niantic Spatial highlights 5+ years of relevant experience; a bachelor's degree; experience with Structure from Motion, visual positioning systems, 3D reconstruction, PyTorch. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Senior Computer Vision Engineer (Localization) position at Niantic Spatial?
This listing links directly to Niantic Spatial's Ashby application page. You can apply directly on Niantic Spatial's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.