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Senior Computer Vision Engineer (Reconstruction)
- San Francisco, California, United States
- San Francisco, California, United States
Über
As a Senior Computer Vision Engineer on the Applied Algorithms team, you will own significant parts of our Reconstruction technology. As a member of this team, you will be responsible for building a high‑fidelity 3D representation of the living geospatial world model via Gaussian Splatting and Meshing. Part of the role you 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.
Responsibilities
System Architecture: Design, develop, and maintain production‑grade Computer Vision systems that power Niantic Spatial’s 3D Gaussian Splatting, Meshing and 3D mapping pipelines.
Algorithmic Innovation: Refine and scale algorithms for our Reconstruction service including, SfM (Structure from Motion), Depth Estimation, 3D Gaussian Splatting and Meshing. Moving algorithms from research concepts to hardened production code that can scale for our map of the world.
Performance Engineering: Optimize complex Computer Vision 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 3D Reconstructions 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 Computer Vision or 3D Reconstruction.
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 Computer Vision and 3D Reconstruction libraries (OpenCV, COLMAP, NerfStudio, etc.).
Experience with CUDA or shader programming for performance optimization.
Candidate Privacy Policy 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.
Compensation $189K – $255K bonus + equity + benefits.
Individual pay within this salary range is determined by work location and additional factors, including assessed job‑related skills, experience, and relevant education or training. Your recruiter can answer any questions about new hire total compensation during the hiring process. An overview of benefit offerings for your location can be found on the careers page.
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Sprachkenntnisse
- English
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