• Develop computer vision solutions for real-world applications • Collaborate with teams on energy project development • Innovate and find solutions to improve accuracy and efficiency in projects

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description On our Spatial Intelligence Team, you’ll have the opportunity to work with world-class 3D computer vision and machine learning engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The team creates computer vision-derived world maps, fuses vision-derived maps with LIDAR-based maps, updates these maps as the world changes, and localizes autonomous vehicles within these maps in real-time. We are looking for proven technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and are interested in pursuing career growth in a fast-growing company. - Define, lead and execute computer-vision based mapping projects that improve our self-driving vehicles’ capability to efficiently map roadways and localize itself using vehicle and remote sensing data. - Develop methods to monitor changes to the environment and update maps accordingly. - Integrate visual maps with LIDAR-derived maps to create consistent fused world maps. - Productionize and deploy solutions onto autonomous vehicle fleets. - Collaborate with LIDAR-based localization and mapping, and perception teams to improve our vehicle’s on-road performance. Qualifications - Experience developing software for geometric computer vision - geometric camera models, camera calibration, fundamental/essential matrices, the epipolar constraint, feature detection and matching, triangulation. - Experience with visual simultaneous localization and mapping (VSLAM), structure from motion, visual-inertial SLAM, visual-inertial odometry, and large-scale bundle adjustment/factor graph optimization at scale. - Proven track record of designing, developing and deploying 3D computer vision solutions for autonomous vehicles, augmented reality, robotics or related applications. - Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience. - 7+ years of professional software engineering experience. - Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods. - Extensive experience in metrics design and metrics driven technology development. - Excellent communication and interpersonal skills. - Strong programming skills in C++. - Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, WACV, AAAI, ICL, etc.). Requirements - Experience with multi-modality, multi-sensor fusion-based mapping, e.g. visual + LIDAR-based mapping. - Remote sensing experience including geospatial coordinate frames, RPC camera models. - Strong python programming skills. - Experience training ML models using Pytorch or other libraries. Benefits - Medical, dental, vision insurance. - 401k with a company match. - Health saving accounts. - Life insurance. - Pet insurance. - Additional forms of compensation such as a bonus or company equity. Salary Range $240,000 — $330,000 USD

• Design, develop, integrate, and optimize new features and enhance existing ones across our computer vision and 3D reconstruction pipelines. • Ensure high standards for code quality, testing, and development practices to maintain a robust and clean codebase. • Profile and optimize performance for efficiency, scalability, and low-latency deployment in production environments. • Stay up to date with the latest research and industry trends in CV, ML, and 3D data processing, applying relevant advancements where appropriate. • Contribute to technical documentation, design reviews, and code reviews to ensure maintainability and knowledge sharing. • Debug, identify root causes, and implement and test fixes for problems. • Work collaboratively with all teams to define and execute the technical roadmap for Farsight and other products.