Senior or Staff Computer Vision Engineer

Why Hover wants you

We’re expanding Hover’s 3D Reconstruction platform to solve one of our most ambitious technical challenges: transforming real-world sensor data into accurate, structured, CAD-quality models at scale. Computer Vision doesn’t just support Hover’s products, it defines them. We’re looking for either a Senior or Staff Computer Vision Engineer who can turn cutting-edge research into scalable production capabilities while helping shape the future of our reconstruction systems.

Responsibilities

• Design, prototype, evaluate, and productionize advanced computer vision and deep learning systems for 3D reconstruction, scene understanding, semantic modeling, and structured property representation.
• Work across the full lifecycle of applied research and engineering: identifying relevant academic and industry approaches, writing project plans and technical specs, building proof-of-concepts, training and evaluating models, analyzing reconstruction quality and performance, and integrating successful approaches into production systems.
• Partner closely with 3D reconstruction, Product, Design, Engineering, modeling, infrastructure, graphics, frontend, and backend teams to turn ambiguous technical and customer needs into clearly scoped experiments and production capabilities.

Requirements

• 5+ years of experience in computer vision, machine learning, or 3D reconstruction within academic research and/or industry environments, with deep domain expertise and a strong track record of solving complex technical problems.
• Hands-on experience with one or more areas of modern 3D vision and reconstruction, such as multi-view geometry, pose estimation, camera calibration, structure-from-motion, feature matching, dense reconstruction, structured 3D reconstruction, model fitting, optimization, scene understanding, semantic modeling, or structured 3D representation.
• Practical deep learning experience, ideally applied to 3D reconstruction, geometry, correspondence, pose, segmentation, semantic understanding, VLMs, or related spatial ML problems.
• Strong software engineering skills in Python and/or C++.
• Ability to prototype quickly, train models, evaluate approaches rigorously, and translate promising research into practical systems.
• Experience designing experiments with clear metrics, baselines, datasets, evaluation plans, and go / no-go criteria.
• Ability to write clear project plans, technical specs, research summaries, experiment reports, and production-readiness documentation.
• Track record of technical ownership and the ability to independently drive projects from ambiguity through implementation and delivery.
• Strong collaboration skills and comfort working with researchers, engineers, 3D modelers, infrastructure teams, product partners, and other cross-functional stakeholders.
• Strong product and engineering judgment, with the ability to balance technical ambition, customer value, production constraints, scalability, reliability, timing, and business impact.

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, Computer Vision, Robotics, Graphics, or a related field.
• Experience building and shipping production CV, ML, or 3D reconstruction systems at scale.
• Proven ability to lead initiatives from early-stage research and experimentation through production deployment, monitoring, and long-term system ownership.
• Experience defining technical direction, architectural strategy, evaluation methodology, and quality/performance standards for complex CV or ML systems.
• Strong communication and influence skills, including the ability to translate complex technical concepts, constraints, and tradeoffs for both technical and non-technical audiences.
• Track record of translating research, experimentation, or technical innovation into measurable product, customer, or business impact.