Flight Sciences Tools and HPC Engineer (Aerospace)

TL;DR

Flight Sciences Tools and HPC Engineer (Aerospace): Designing and maintaining internal software libraries and high-performance computing infrastructure to accelerate flight sciences engineering with an accent on resource optimization and computational reproducibility. Focus on managing on-premises Linux clusters, implementing scalable scientific software tools, and ensuring efficient HPC utilization.

Location: San Jose, California, United States. Unable to provide work visa sponsorship

Salary: $162,800 - $217,600

Company

Aerospace company building an all-electric vertical takeoff and landing aircraft to advance sustainable air mobility.

What you will do

• Design, implement, and maintain internal software libraries and computing infrastructure for the Flight Sciences department.
• Develop software tools to improve the reproducibility and traceability of computations.
• Administer on-premises HPC resources and optimize resource utilization and cost.
• Promote a culture of software excellence and shared computational practices across engineering teams.
• Collaborate with the company-wide IT department to advocate for specific engineering and computing needs.

Requirements

• Master's or Ph.D. in Aerospace, Mechanical, or Computational Engineering.
• 5+ years of experience developing scientific software for flight sciences (aerodynamics, acoustics, control, etc.).
• Proficiency in the scientific Python ecosystem (NumPy, SciPy, Pandas, TensorFlow/PyTorch).
• Experience in HPC system design and administration, including Linux, MPI, and Slurm/PBS/Torque.
• Strong knowledge of software development best practices, including version control and CI/CD.
• Must have valid US work authorization as visa sponsorship is not provided.

Nice to have

• Experience in aircraft design (aerodynamics, GNC, structural analysis, or vehicle simulation).
• Proficiency in compiled languages such as C/C++, Fortran, or Rust.
• Experience with MATLAB, Simulink, and containerization (Docker/Singularity).
• Familiarity with configuration management tools like Ansible, Chef, or Puppet.
• Contributions to open-source scientific software projects.

Culture & Benefits

• Competitive pay-for-performance culture with rewarding compensation.
• Opportunity to solve hard problems in a high-growth aerospace startup environment.
• Commitment to diversity, equity, and inclusion in the workplace.