As a Tech Lead for the Applied Computer Vision Algorithms Team, you'll help drive our "Reconstruct", "Understand" and "Localization" capabilities. This team is responsible for creating the high-fidelity visual and semantic maps-specifically textured, semantic meshes, and Gaussian Splats- as well as localization maps that allow our Large Geospatial Model (LGM) to perceive the world with human-like precision. Closely working with the R&D and product teams your work will bridge the gap between cutting-edge theory and real-world utility, turning complex geospatial data into a persistent sense of space for the next generation of AI and robotics. **Job Responsibilities** - **Applied Research & Implementation:** Actively translate top-tier research papers (e.g., from CVPR, ECCV, NeurIPS) into production-grade features within our tech stack. - **Technical Leadership:** 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. - **Algorithm Optimization:** Develop and optimize Gaussian Splatting quality algorithms and general ML code for high-performance execution on CPU and GPU. - **Production Implementation:** Write and maintain high-performance, shader-based production code in C++ for Android and Linux environments. - **Technical Strategy & Mentorship:** 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. - **Cross-Functional Collaboration:** Partner with the Research and Spatial Solutions teams to turn strategic goals into actionable plans. - **Quality & Benchmarking:** 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.