Senior Computer Vision Engineer (Localization)

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.
• 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.
• 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 .

Benefits

Additional Information

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.

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