Flight Sciences Tools and HPC engineer

5+ years of experience as a user and developer of scientific/engineering software for flight sciences or similar disciplines (such as aerodynamics, acoustics, control, loads, thermal analysis, mass properties, vehicle simulation, etc.) in a fast-moving environment.

Demonstrated experience in developing computing software and infrastructure, with proficiency in the scientific Python ecosystem (NumPy, SciPy, Pandas, Scikit-learn, TensorFlow/PyTorch, VTK).

Demonstrated experience in standard best practices in software development, including version control, CI/CD, software testing, environment management.

Demonstrated experience with the design and administration of HPC systems, either on-premise or cloud (AWS preferred).

Knowledge of Linux administration, high speed network interconnects, parallel file systems, and MPI required.

Experience with HPC management software (Slurm/PBS/Torque, OpenHPC/Bright, Warewulf/XCat, Spack/EasyBuild, Lmod).

Design, implement, and maintain internal software libraries and applications as well as computing infrastructure to enable engineers to solve problems faster and more efficiently.

Promote the use of shared computational infrastructure, tools, and practices across engineering teams within the Flight Sciences department.

Develop processes and software tools to improve the reproducibility and traceability of computations.

Drive the implementation of such tools.

Promote a culture of software excellence across the engineering organization.

Understand the needs of various engineering teams to efficiently utilize High-Performance Computing (HPC) resources, and make informed decisions on infrastructure solutions to ensure optimal resource utilization and cost savings.