Niantic spatial
Tech Lead For The Applied Computer Vision Algorithms Team
Overview
As a Tech Lead for the Applied Computer Vision Algorithms Team, you’ll help drive our “Reconstruct”, “Understand” and “Localization” capabilities by creating high-fidelity visual and semantic maps.
About Niantic spatial
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.
Requirements & Eligibility
- 8+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 6+ years with a PhD in a relevant domain)
- Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred
- Strong proficiency in C/C++ and Python for production-level software development
- Proven experience in 3D Computer Vision/ML, specifically with Structure from Motion (SfM), 3D reconstruction, and Gaussian Splatting rendering techniques
- Demonstrated ability to optimize algorithms for GPUs in Android or Linux environments
- Experience with computer graphics and C++ shader-based implementations
- Previous experience tech leading a team of computer vision engineers in a high-growth environment
Key Responsibilities
- Actively translate top-tier research papers (e.g., from CVPR, ECCV, NeurIPS) into production-grade features within our tech stack
- 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
- Develop and optimize Gaussian Splatting quality algorithms and general ML code for high-performance execution on CPU and GPU
- Write and maintain high-performance, shader-based production code in C++ for Android and Linux environments
- Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance
- Partner with the Research and Spatial Solutions teams to turn strategic goals into actionable plans
- Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge
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