Software Engineer (Thermal & Fluid Analysis)

The Thermal & Fluid Analysis team supports the design and testing of Starship's thermal and fluids systems. These include active and passive thermal control, propellant feed systems, gas systems, thermal protection, and in-space propellant management among many other subsystems. These systems must perform reliably in extreme environments from launch to recovery.

In this role, you will develop software tools to support analysis, improve design processes, automate workflows, and subsequently deploy the new software/workflows to the analysis and engineering community. Your work will enable making informed decisions more quickly and thus reducing the time required to realize a self-sustaining colony on Mars.

This role requires strong software development skills and an interest in simulation, thermal design, and fluid systems. Experience with thermal & fluid system modeling technique and simulation is a major plus.

RESPONSIBILITIES: - Design software and workflows that improve mission critical analysis throughput - Build infrastructure to support thermal and fluid systems analysis - Automate analysis workflows to speed up mission and design iteration - Support simulation and validation with test and flight data - Collaborate with engineers to improve reliability and performance of spacecraft systems - Write clean, scalable code and maintain strong documentation

BASIC

QUALIFICATIONS: - Bachelor's degree in computer science, engineering, physics, mathematics, or a related field - 1+ years of experience coding in Python, JavaScript, and/or Rust (including internship or academic experience)

PREFERRED SKILLS AND EXPERIENCE: - Familiarity with thermal or fluid systems in spacecraft or aerospace applications - Strong background in Python and data processing - Experience automating engineering workflows or simulations - Knowledge of and/or experience in MATLAB, C/C++, Git, Thermal Desktop, ANSYS Workbench, Siemens STAR-CCM+ - Understanding of thermal/fluid networks (0-D or 1-D modeling) - Excellent communication and documentation skills - Interest in making engineering tools easier to use and more scalable - Familiarity with high performance computing

- Must be willing to work extended hours and/or weekends as needed