Python Developer, Linux-Based Tool Development for Humanoids

What To Expect
Join our team to develop robust software tools that enable intuitive robot description and data manipulation for humanoid robotics. In this role, you'll focus on back-end development for applications that allow users to graphically configure humanoid robot versions, with outputs that integrate directly into our larger development ecosystem and manipulate robot data.

We're looking for a developer with strong Python expertise in both Linux and Windows environments, and a solid engineering foundation. You’ll work on creating scalable, maintainable, and high-performance tools that support critical workflows like robot description file generation, data handling, and system configuration.

While your primary focus will be on back-end systems, you’ll need a clear understanding of the application flow and how the robot description is produced, collaborating closely with other teams responsible for infrastructure and graphical interfaces. Familiarity with robotic concepts -such as kinematics, sensors, and actuation- is essential to ensure accurate and efficient integration with the existing codebase.

This role offers a high degree of autonomy and requires strong problem-solving skills, especially in areas like cross-platform compatibility, data pipeline design, and performance optimization. Your contributions will be central to shaping the tools that support the next generation of humanoid robotics.

What You'll Do

Design and Implement Tools: Build Python-based applications and libraries for humanoid robotics, emphasizing modularity and maintainability in Linux environments.

Optimize Performance: Profile and enhance code for efficiency, handling edge cases like resource constraints or multi-threaded operations.

Test and Debug: Conduct thorough testing, including unit tests and simulations, to validate reliability in engineering contexts.

Innovate and Iterate: Propose improvements based on emerging Python/Linux best practices, exploring alternatives like containerization (e.g., Docker).

What You'll Bring

Design and Implement Tools: Build Python-based applications and libraries for humanoid robotics, emphasizing modularity and maintainability in Linux environments.

Optimize Performance: Profile and enhance code for efficiency, handling edge cases like resource constraints or multi-threaded operations.

Test and Debug: Conduct thorough testing, including unit tests and simulations, to validate reliability in engineering contexts.

Innovate and Iterate: Propose improvements based on emerging Python/Linux best practices, exploring alternatives like containerization (e.g., Docker).

, Tesla