Software Engineer
Posted 27 Jan 2026
Advertised as “Senior Software Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Visa sponsorship
- Not offered
No salary listed for this role.
We seek to move the world forward through innovative thinking.
Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services. We blend design excellence with cutting-edge technology to deliver exceptional client value. Our team is passionate about their work and committed to building the next generation of industry leaders, and as a certified Great Place to Work®, Woolpert embraces progress and innovation to create limitless opportunities for career growth.
Position Overview
Woolpert is hiring a Senior Software Engineer to join our dynamic Atlas Labs team supporting our Geospatial sector. This position reports to the Director of Product and AI. Atlas Labs oversees technology development for Woolpert’s Geospatial sector, including various types of AI model development, R&D, software infrastructure, and user-facing products.
We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located.
What You Will Do:
- Contribute to the planning, research, design, architecture, development, and testing of Atlas Labs software features. You’ll write code daily, definitely in Python and possibly in C++ or JavaScript.
- Work as part of a cross-functional Scrum team with domain experts in AI/ML, Geospatial Data, Software Engineering, and GIS.
- Collaborate with internal and external users to ensure the correctness, quality, and availability of Atlas Labs software products.
What You Will Bring:
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Meaningful employment experience working on commercial software products
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Experience writing production code in Python, preferably dealing with large datasets
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Demonstrated experience or academic output in a relevant domain:
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Geospatial Data Processing
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Computer Vision
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AI & Machine Learning
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LiDAR
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Robotics/Self-Driving/Autonomy
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General familiarity with relevant technologies:
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Linux, Docker, and GitHub
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AI/ML frameworks (Tensorflow, Pytorch)
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Cloud platforms (Azure, AWS, Google)