Technical Lead, Computer Vision

Job 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 to elevate the team’s technical bar.
• 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.

Job Requirements

• Years of Experience: 8+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 6+ years with a PhD in a relevant domain).
• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.
• Core Technical Skills: Strong proficiency in C/C++ and Python for production-level software development.
• Specialized Expertise: Proven experience in 3D Computer Vision/ML, specifically with Structure from Motion (SfM), 3D reconstruction, and Gaussian Splatting rendering techniques.
• Hardware Optimization: Demonstrated ability to optimize algorithms for GPUs in Android or Linux environments.
• Graphics Knowledge: Experience with computer graphics and C++ shader-based implementations.
• Technical Leadership Experience: Previous experience tech leading a team of computer vision engineers in a high-growth environment.

Work Location

This position requires 3 days per week in our San Francisco OR Sunnyvale office.