Principal Engineer, Computer Vision & AI /3D Data (Team Lead) in London

Join to apply for the Principal Engineer, Computer Vision & AI /3D Data role at Bentley Systems.

Locations (Hybrid/ Remote): France, Ireland, UK, Germany, Switzerland.

Position Summary

Cesium is the leading open platform for streaming and visualizing huge 3D geospatial datasets, providing the core technology to build applications with real-world context. Our cloud services and vibrant open-source community empower developers across industries, from government to entertainment, to create immersive, data-rich experiences. Our iTwin Capture team transforms vast amounts of real-world data from sources such as drones, cameras, and laser scanners into highly accurate, intelligent 3D digital twins of infrastructure. They develop technology that converts this data into immersive models, enabling smarter, more sustainable design, construction, and operation of critical infrastructure worldwide. We are hiring a Principal Computer Vision & AI Engineer to drive next‐generation AI solutions for large‐scale 3D reality data, leading a team to shape the AI strategy while delivering cutting‐edge computer vision technologies for digital twin applications.

Responsibilities

• Lead and mentor a team of 5 engineers, providing technical direction and project coordination in computer vision and AI/3D data modeling projects.
• Design and deploy advanced AI/ML and 3D vision algorithms for large‐scale datasets, including point clouds, meshes, sensor data and Gaussian splatting.
• Define the AI strategy and contribute to product roadmap decisions.
• Implement ML Ops practices for scalable, automated training and inference pipelines.
• Conduct research on emerging AI techniques for 3D understanding and integrate findings into production.
• Ensure quality through rigorous evaluation, optimization, and code reviews.

Qualifications

• PhD or equivalent in Computer Vision, AI, or Machine Learning.
• 5+ years of experience in AI/3D vision development, including industry deployment of AI and working with 3D data, ML Ops, and user‐focused product development.
• Expertise in deep learning, computer vision, 3D geometry, and multimodal AI, including experience with large language models.
• Proven experience leading and mentoring technical teams for at least 5 years.
• Strong programming skills in Python and/or C++ with ML frameworks (PyTorch, TensorFlow) and GPU programming (CUDA).
• Excellent communication and leadership skills.
• Fluent in English.

What We Offer

• A great team and culture – please see our colleague video.
• An exciting career as an integral part of a world‐leading software company providing solutions for architecture, engineering, and construction.
• An attractive salary and benefits package.
• A commitment to inclusion, belonging, and colleague wellbeing through global initiatives and resource groups.
• A company committed to making a real difference by advancing the world's infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world.

Application

Please submit your resume in English.

About Bentley Systems

Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner‐operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance.

Equal Opportunity Employer

Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.