Software Engineer (Computer Vision / Image Processing)

Join our team as a Software Engineer specializing in Computer Vision and Image Processing. In this role, you will implement and optimize imaging-pipeline stages in C++, drive down data product pipeline latency, and contribute to high-performance reference algorithms. You will also partner with HPC GPU specialists, own verification and validation, and produce clear designs and documentation. Benefits include comprehensive health coverage, generous time off, a 401(k) plan, and a dog-friendly office.

• Implement and re-implement expensive imaging-pipeline stages in performant C++, including bundle adjustment, orthorectification, and image format handling, and expose them cleanly to Python.
• Drive down IR Data Product pipeline latency by replacing expensive stages with optimized implementations (e.g. GPU-based orthorectification), and extend the same approach to other imaging data product and missions.
• Work with the image data products team to identify the highest value stages to port from Python to C++/GPU and drive the migrations to completion and success.

• Ability and willingness to obtain and maintain a U.S. security clearance. Active clearance is a plus
• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Math, or a related technical field
• Expert-level C++, with deep familiarity with memory management, concurrency, and performance-oriented programming
• Strong written and verbal communication and ability to lead and conclude cross-functional technical discussions
• 3+ years of professional experience developing performance-critical C++ software in production
• Hands-on experience with bundle adjustment, orthorectification, and common image and geospatial formats
• Demonstrated experience building high-throughput, low-latency image-processing services
• Experience integrating C++ components into Python pipelines
• Strong Python skills
• CUDA, especially for image-processing kernels
• Photogrammetry or remote-sensing background
• Direct exposure to space, aerospace, or other mission-critical software environments
• High-throughput data movement (zero-copy buffers, RDMA, shared memory)
• CI/CD for containerized workloads, including performance regression testing