Overview
Skills
Job Details
C2C Role|| Need Passport Number ||Must be previous Meta Employee
Job Title: Python Engineer
Location: US - Remote
Must be previous Meta Employee
Job Description:
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
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
Thanks and regards
Shaik Wazeed
Sureminds Solutions