Job Description

You will work on creating ground truth data tools for all computer vision teams at Magic Leap. To achieve this you will work with motion capture systems, cameras, and robotics. You will work within the Perception Products team to support data collection for the whole perception stack to enable the next generation of spatial computing.

Responsibilities:

Collaborate cross-functionally to develop data collection tooling for a wide range of sensors and environmental conditions
Analyze ground truth systems and data, especially image data and 6DoF transformations
Build tools to create ground truth datasets using whatever means possible. Thinking outside the box in terms of software / electrical / mechanical / labeling / off-the-shelf systems to create ground truth systems as rapidly as possible
Validate that data is of known quality

Minimum Qualifications

2+ years of development experience in Python. Experience writing maintainable, reusable code, leveraging test driven principles to develop high quality modules
Experience working in a Linux/Unix environment
Experience developing data processing pipelines for sensor data with significant processing volumes

Preferred Qualifications

Experience with Docker, Kubernetes, GCP
Understanding of camera projection/distortion models, calibration methods
Designing and building systems with temporal and spatial alignment between different sensors

Education

B.S. in CS, ECE, EE or related fields

Additional Information

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This role is based in Sunnyvale, CA and requires in office presence. If you are not already located in the Bay area, are you open to relocating?

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Software Engineer, Perception Data (Junior/Intermediate)

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