✨ About The Role
- The role involves developing Nominal's open-source Python client to enhance the user experience for working with machine-derived test data.
- The candidate will assist with technical pre-sales collateral, including creating end-to-end customer demos, documentation, and blog posts.
- Responsibilities include simulating, ingesting, munging, and visualizing a wide range of real-world test data, such as telemetry logs and video files.
- The position requires collaboration with engineering teams to improve the efficiency and effectiveness of testing campaigns.
- The role is based in SoHo, New York City, and requires on-site presence.
⚡ Requirements
- The ideal candidate will have demonstrated experience developing ergonomic Python libraries with a focus on developer experience (DevUX).
- A strong background in creating or troubleshooting REST API services is essential for success in this role.
- Candidates should possess opinionated data science experience with standard Python tools such as NumPy, Pandas, and OpenCV.
- Object-oriented design expertise with the latest Python best practices is required, particularly with versions greater than 3.11.
- A passion for quality documentation and a commitment to delivering a delightful developer experience will be crucial.