Technical Lead, Computer Vision
Niantic Spatial14 days ago
Base Salary
$257k - $315k/yr
Responsibilities
- Translate computer vision and machine learning research papers into production-grade features.
- Lead the design and implementation of 3D reconstruction pipelines using Structure from Motion, mesh generation, and Gaussian Splats.
- Develop and optimize Gaussian Splatting and machine learning algorithms for high-performance CPU and GPU execution.
- Write and maintain shader-based production code in C++ for Android and Linux.
- Help define the Applied Computer Vision team's technical roadmap and quarterly objectives.
- Mentor computer vision engineers and provide technical code governance.
- Collaborate with engineering leadership, R&D, product, Research, and Spatial Solutions teams.
- Drive quality data creation and benchmarking for spatial grounding of AI queries.
Requirements
- 8+ years of professional experience in computer vision, machine learning, or a related field, or 6+ years with a relevant PhD.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Strong proficiency in C/C++ and Python for production software development.
- Proven experience with 3D computer vision and machine learning, including Structure from Motion, 3D reconstruction, and Gaussian Splatting rendering.
- Experience optimizing algorithms for GPUs in Android or Linux environments.
- Experience with computer graphics and C++ shader-based implementations.
- Previous experience technically leading a team of computer vision engineers in a high-growth environment.
- Master’s degree or PhD in a relevant field is preferred.
Benefits
- This position requires working three days per week in the San Francisco or Sunnyvale office.
Categories
About Niantic Spatial
Niantic Spatial builds computer‑vision and spatial computing software that maps real‑world environments and localizes people and machines within them. The company offers a platform with APIs and SDKs for creating AI‑native digital twins, visual positioning, and spatial question‑answering, serving robotics, AR/VR, defense, and industrial operations. Privately held, it sells its technology to enterprises that need precise, geometrically accurate understanding of physical spaces beyond GPS or screen‑bound systems.