Podman Desktop is a widely popular Open Source application running on developer workstation, Windows, macOs or Linux, allowing developers to easily manage containers, build, push and use images using Podman or Docker as the underlying container engine. It also has support for Kubernetes easing the transition toward managed container applications.
Podman AI Lab is an extension of Podman Desktop, an Open Source application running on developer workstation. AI Lab provides an easy way to learn and experiment with Large Language Models using a set of AI recipes and models. The developer can reuse a collection of AI based containerized applications to quickly run and test models and prototype applications. The target persona for those applications is a software engineer, possibly in the early learning phase of AI and LLM use.
The Podman Desktop team is looking for a Software Engineer to join its distributed team of software and quality engineers as the team expands. New areas of work are largely AI related, like support of the InstructLab project to build an Open Source based AI approach to training Granite LLM, expansion of the AI applications set, and support of various new Red Hat products like RHEL AI and Openshift AI.
The ideal candidate will be an enthusiastic developer with knowledge and experience in both front end developement and AI, machine learning, or deep learning technologies. You will join a very strong team, and be part of a successful project covering new technologies and products.
Primary Job Responsibilities:
Help expand and maintain Podman Desktop and AI Lab code base as more AI features are added to the AI Lab plugin.
Debugging, implementing features, writing patches, tests, reviewing other people's PRs.
Help with releases and documentation when needed.
Being part of the upstream, engage with the community like answering on the public channel and commenting on issues.
Required Skills:
Proficiency in Typescript or JavaScript language.
Some practical experience with AI, Large Language Models.
Experience with runtime and tools like Node.js, Vite, npm or similar.
Familiarity with participating in an agile development team.
Nice to Haves:
Experience with Linux, bash, containers or Kubernetes.
Development or maintenance of an AI based application.
Previous experience in contributing to or maintaining an upstream Open Source project.
Experience with multiple operating systems (Windows, macOs, Linux.)
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