Multi-Sensor Systems Integration
Build robust software that integrates multiple sensors and tracking systems, including Aurora's stereo cameras, WiFi, and Bluetooth
Design for real-world conditions — variable lighting, store layouts, and hardware constraints — not just clean lab data
Work across the video, WiFi, and Bluetooth analytics pipelines to keep detection and tracking accurate and consistent
Applied Engineering & Delivery
Design, implement, validate, and release applications and capabilities in C++ and Python
Take algorithms from prototype to production-ready code that runs reliably at scale
Validate new techniques against real deployments across large, global installations
Partner with the rest of the R&D team to review, test, and ship new capabilities
What We're Looking For
Required
Master's degree in Computer Science, Computer Vision, or Machine Learning
Strong programming skills in C/C++
Rapid prototyping experience in Python or MATLAB
Strong understanding of multi-view geometry
Experience designing, implementing, and releasing computer vision applications
Valued but Not Required
Experience with multiple object tracking or facial analysis
Experience integrating multi-sensor systems (video, WiFi, Bluetooth)
Background applying computer vision at production scale, not just in research
Experience with embedded or onboard processing on custom hardware
What We Offer
Work on novel computer vision problems most teams never get near — multi-view geometry, 3D reconstruction, and multiple object tracking at production scale
Help shape the algorithms behind Aurora, our own cloud-managed stereo sensor, from R&D through installations running around the world
Real ownership over new algorithm development, not just maintenance — your work directly drives what ships next
Monthly Recharge Day
Holiday Exchange Program
Best Self Benefit Program
Medical Insurance
Work from Anywhere up to 90 days
