Develop deep learning models for feature matching, depth estimation, pose estimation, and image-to-map localization.
Own data preparation and supervision strategies, including dataset curation, labeling workflows, and quality checks.
Collaborate with state estimation and deployment engineers to integrate learned measurements into VIO and terrain-relative navigation systems.
This company builds autonomous systems that can understand motion and localize themselves when GPS is unavailable. Its engineering team works remotely, collaborating across deep learning, computer vision, and state estimation.
Design, develop, and deploy production ML models for ego-motion estimation and localization using camera, LiDAR, and radar.
Develop scalable training and evaluation workflows with PyTorch and large-scale real-world datasets.
Collaborate with cross-functional teams and provide technical leadership in design reviews and mentoring.
Torc develops autonomous vehicle software for automated trucks, aiming to transform freight movement. As part of the Daimler family, they have a collaborative, energetic, and team-focused culture with competitive benefits.
Develop and optimize 3D computer vision components, including triangulation, bundle adjustment, and camera calibration, and integrate them into the GenWeb3D stack.
Design and implement 3D point and sparse patch tracking systems from video data.
Integrate deep learning models into classical vision workflows, including lightweight neural modules that accelerate 3D inference.
GenWeb is building the next generation of 3D perception systems. As a company, we focus on developing high-performance computer vision pipelines that bridge classical geometry with modern machine learning, aiming to make real-world 3D understanding faster and more accurate. Our team is engineering-focused, valuing robustness and production-quality deployment.