Tech Lead Manager, Computer Vision

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Description

As a Tech Lead Manager for the Applied Computer Vision Algorithms Team youll manage a small team of 3-5 computer vision engineers while tech leading the core of our Reconstruct Understand and Localization capabilities. The greater team will be responsible for creating the high-fidelity visual and semantic mapsspecifically 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.

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:Bachelors degree in Computer Science Engineering or a related technical field; Masters 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.
Leadership Experience:Previous experience leading and managing a small team of engineers in a high-growth environment.
Work Location:This position requires4 days per weekin our San Francisco OR Sunnyvale office.

Required Experience:

Manager

DescriptionAs a Tech Lead Manager for the Applied Computer Vision Algorithms Team youll manage a small team of 3-5 computer vision engineers while tech leading the core of our Reconstruct Understand and Localization capabilities. The greater team will be responsible for creating the high-fidelity vi...