Experience: 1+ years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote
Required Skills: Github, Github, Python, C++ and Panda3d
Join our team as an expert Pyhton 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.
