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Python Game Developer (Panda3D)

Micro1

Engineering (AI) Full-time
Remote (Global) $50 – $120/hr June 27, 2026

Job description

Job Title: Python Game Developer (Panda3D)

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

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.

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