Python Game Developer (Panda3D) - Remote

Job Title: Python Game Developer (Panda3D)

Job Type: Contract

Location: Remote

Job Summary

Join our customer's team as an expert Python Game Developer (Panda3D), where you’ll contribute to cutting-edge AI training projects using one of the most robust and flexible open-source game engines. This specialized role focuses on harnessing Panda3D’s capabilities to deliver immersive, high-performance simulations compatible with both legacy and contemporary hardware.

Key Responsibilities

• Design, develop, and optimize 3D game simulations and environments using Panda3D for AI training applications.
• Collaborate with multidisciplinary teams to transform requirements into technical solutions.
• Implement, maintain, and debug Python and C++ codebases integrated with Panda3D.
• Contribute to version control workflows using GitHub to ensure smooth project collaboration.
• Ensure cross-platform compatibility and performance across diverse hardware configurations.
• Document architectural decisions, code, and processes clearly to support collaborative development.
• Actively participate in code reviews, brainstorming sessions, and team meetings, emphasizing exceptional verbal and written communication.

Required Skills And Qualifications

• Proven, hands-on experience developing with Panda3D—experience with similar engines does not substitute.
• Advanced proficiency in Python and C++ programming languages.
• Strong command of GitHub for code management, branching, and pull requests.
• Deep understanding of 3D graphics pipelines, simulation logic, and cross-platform development.
• Exceptional written and verbal communication skills—clear documentation and collaboration are critical.
• Ability to work independently in a remote environment, meeting deadlines with minimal supervision.
• Demonstrated attention to detail and a problem-solving mindset.

Preferred Qualifications

• Prior game development experience for AI, simulation, or training purposes.
• Familiarity with optimizing 3D assets for performance across a range of hardware.
• Background in collaborative, distributed Agile environments.