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Principal Engineer - Computer Vision​/3D Reconstruction

Job in Orangeburg, Orangeburg County, South Carolina, 29117, USA
Listing for: Bentley Systems
Full Time position
Listed on 2026-01-12
Job specializations:
  • Engineering
    Software Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Principal Engineer - Computer Vision / 3D Reconstruction

Principal Engineer, Computer Vision / 3D Reconstruction

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

Ouri Twin 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.

A new position has opened for a Principal Engineer, Computer Vision Engineer specializing in 3D reconstruction to advance high-fidelity reality capture technologies. You will work on photogrammetry, neural rendering, and innovative approaches like Gaussian Splatting to deliver state‑of‑the‑art solutions.

Responsibilities
  • Research, design, and implement advanced 3D reconstruction pipelines.
  • Develop and optimize photogrammetry algorithms for scalability and accuracy.
  • Implement neural rendering techniques (NeRFs, Gaussian Splatting) for large‑scale scenes.
  • Benchmark and validate reconstruction pipelines for performance and quality.
  • Collaborate with product and engineering teams to bring research into production.
Qualifications
  • Master’s or PhD in Computer Vision, Graphics or related field.
  • Hands‑on experience in photogrammetry and multi‑view geometry.
  • Knowledge of neural rendering techniques (NeRFs, Gaussian Splatting).
  • 7+ years of experience programming in C++ and Python, with GPU programming experience.
  • Solid mathematical foundation (geometry, linear algebra, optimization).
  • Fluent English and strong communication skills.
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.
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.

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