Principal Engineer, Computer Vision & AI / 3D Data
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. The iTwin Capture team develops the technology that converts this data into immersive models, enabling smarter, more sustainable design, construction, and operation of critical infrastructure worldwide.
We’re hiring a Principal Computer Vision & AI Engineer to drive next‑generation AI solutions for large‑scale 3D reality data, leading a team to help shape the AI strategy whilst 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, providing coaching and guidance.
Design and deploy advanced AI/ML and 3D vision algorithms generated by our modelling team for large‑scale datasets for practical, user‑focused product development 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 experience of deploying AI and working with 3D data, including ML ops and practical, user‑focused product development.
Expertise in deep learning, computer vision, 3D geometry, and multimodal AI, including experience with large language models.
Proven experience at least 5+ years leading and mentoring technical teams.
Strong programming skills in Python and/or C++ with ML frameworks (PyTorch, TensorFlow), 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 - watch this short documentary about how we got our start.
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. Discover our latest user success stories for an insight into our global impact.
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. www.bentley.com
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.
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