Computer Vision Engineer - Geometry

MBN Solutions has been exclusively retained by an innovative deep-tech company developing next-generation perception technology for autonomous systems. Our client is building advanced computer vision and spatial intelligence solutions that enable machines to understand and navigate complex environments using passive sensor data. Their proprietary technology is being deployed across multiple high-growth sectors including autonomous mobility, robotics, industrial automation, defence, and healthcare. Backed by leading venture investors and with established commercial traction, they are seeking a Senior Computer Vision Engineer to play a key role in advancing their core perception and navigation capabilities. The Opportunity This is an opportunity to work on some of the most challenging problems in computer vision, robotics, and autonomous systems. The successful candidate will help develop the algorithms that enable machines to build rich 3D understanding of the world using camera and inertial sensor data alone. This role will suit someone who enjoys tackling complex technical challenges from first principles and has a strong foundation in geometric computer vision, state estimation, and sensor fusion. Key Responsibilities Design and develop algorithms for: Pose Estimation SLAM (Simultaneous Localization and Mapping) Visual-Inertial Odometry (VIO) 3D Reconstruction Build, optimise, and maintain navigation and state estimation systems including: Extended Kalman Filters (EKF) Sensor fusion frameworks Real-time localisation pipelines Develop and enhance multi-view geometry and camera calibration systems Create robust perception solutions for autonomous and robotic applications Investigate algorithm performance, identify failure modes, and implement improvements Collaborate with a highly technical engineering team and contribute to technical leadership and mentorship initiatives. Required Experience We are interested in candidates with 3+ years of industry experience in computer vision, robotics, autonomous systems, or related fields, with expertise in several of the following areas: Core Technical Skills Pose Estimation SLAM Visual-Inertial Odometry (VIO) 3D Reconstruction Multi-view Geometry Camera Calibration Sensor Fusion using Cameras and IMUs Real-time Perception Systems Advanced Mathematical & Algorithmic Expertise Non-linear optimisation Bundle Adjustment Factor Graphs State Estimation Kalman Filters Extended Kalman Filters (EKF) Uncertainty propagation Error-state representations Manifold optimisation Strong Foundations In Linear Algebra Probability Theory Estimation Theory Numerical Analysis Algorithm Debugging & Performance Evaluation The ideal candidate will have experience developing or adapting algorithms rather than solely implementing existing approaches and will be comfortable working through challenging technical problems from first principles. What's on Offer Base Salary: Up to $205,000 base Meaningful Equity Participation Comprehensive Medical, Dental & Vision Coverage 401(k) with Employer Match Flexible PTO Policy Paid Family Leave Home Office Allowance Employer-Paid Disability & Life Insurance Flexible, Remote-First Working Environment Location & Travel Fully Remote - Candidates must be based in the United States Quarterly company meetups and occasional customer or industry event travel All business travel expenses covered Please note that due to the nature of certain projects, applicants may be required to satisfy eligibility requirements associated with U.S. export control regulations.