Computational Geometry Jobs in United States

Computational Geometry Engineer Department: Engineering About Atomic Industries Atomic Industries

inspect point clouds and create precise engineering drawings Extend our point-cloud renderer and GPU picking system Solve geometry

vision systems A minimum of a Bachelor's degree in computer science, physics, robotics, or equivalent Strong hands-on experience with

Strong foundations in the mathematics of graphics: linear algebra, geometry, probability and sampling.

Take open-ended, hard problems in computational geometry and performance — over tens of millions of parcels and nationwide infrastructure data — from prototype

We’re Looking For: PhD in Robotics, Computer Vision, Machine Learning, Computer Science, or related

We are interested in a variety of sub-domains, including 2D GPU-driven rendering, computational geometry & vector graphics, animation frameworks, anti-aliasing

systems, networking protocols, memory management, and CPU scheduling Thorough knowledge of classical physics and math (algebra, calculus, Euclidean geometry

systems, networking protocols, memory management, and CPU scheduling Thorough knowledge of classical physics and math (algebra, calculus, Euclidean geometry

Science, Electrical Engineering, or a related field 4+ years of experience in 3D image reconstruction, 3D computer vision, multi-view geometry or a related

REQUIRED QUALIFICATIONS MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision.

Your algorithms will track satellites during close-proximity rendezvous, reconstruct 3D geometry for inspection missions, and detect threats in real-time from on-orbit

From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries that can’t be built any other way, it’s high-impact work

this machinist will go beyond running parts — they will provide direct machinability feedback to the design engineering team, influence tolerancing and feature geometry

Strong command of 3D geometry, visual-inertial SLAM, and computer vision techniques, including feature matching/tracking, and Structure from Motion (SfM