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.
