Job Description

Job Description:

Title: Python Developer

Location: Remote

Type: Contract

Summary:

• Frustum is a tool to model the geometry of headset sensors and display, critically used for the architectural and the integration design of each RL headset.
• Frustum is also used as a library of common geometry components, such as projection to planes, spheres, automatic mesh generations, and most importantly it allows to compute system metrics and provide automated system reports.
• Frustum is used by a very broad and diverse audience within RL, and it has been pipelined with other simulation tools.
• Frustum has spun out DeviceDB, a database of digital twins of RL products and their components.
• Frustum has a Python-backend, exploiting commonly available Python libraries such as OpenCV, Open3D, Matplotlib, Numpy, Scipy. The frontend is built utilizing React in JavaScript with Meta's internal component library. Data is served through a tech stack comprising Thrift, Relay (JavaScript), and GraphQL. For 3D data presentation, the three.js and plotly.js libraries are utilized.

Responsibilities:

• Manage Frustum Codebase
• Maintain and implement pipelines with other simulation libraries (available and to be developed)
• Maintain and implement test suite to enable scalability
• Support front end development
• Maintain and implement the Frustum Library and the APIs in order to enable import and usage in python notebooks
• Parallelize usage for system optimization
• Streamline utilization and provide documentation for most common Frustum tasks

Must Have:

• Extremely proficient Python programming
• Deep knowledge of Python scientific packages: Numpy, Scipy, Matplotlib, Pandas
• Deep experience with large and complex code bases
• Deep experience with CI/CD tools
• Experience with Meta/RealityLabs code base, infrastructure and CI/CD (Buck) (Must be previous Meta)

Preferred Qualifications:

• Experience with frontend technologies: React, Javascript, Thrift, Relay, GraphQL, three.js
• Knowledge of computer vision and geometry (3D geometry, meshes, point-clouds)
• Knowledge of computer vision Python packages: OpenCV, Open3D

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