HPC/CAE Applications Engineer

Corvid HPC • Mooresville, NC

2d • $85,000 - $135,000 • Onsite

About The Position

Corvid HPC is seeking an HPC/CAE Applications Engineer passionate about computational physics, simulation workflows, and HPC. This role opens the door to a varied, rewarding, and lucrative career path. Sitting at the intersection of bare-metal supercomputing and advanced simulation, you will apply your computational background to solve diverse engineering challenges alongside the world's most innovative companies. This is not a traditional design or analysis position. While you work with complex models daily, owning component designs or running routine single-part loops isn't a day-to-day responsibility. Your focus is solving HPC-level execution, scaling, and automation challenges.

Requirements

• B.S. in Mechanical Engineering, Aerospace Engineering, Computational Physics, or a related STEM field.
• Academic focus or upper-level coursework in computational physics or continuum mechanics disciplines (e.g., fluid dynamics, aerodynamics, heat transfer, solid mechanics, or finite element methods).
• Hands-on CAE experience (CFD or FEA) gained through Professional roles, Internships, Senior Design / Capstone projects, collegiate engineering teams (e.g., Formula SAE, Baja SAE) or other.
• Basic coding/scripting experience (Python or Bash) and/or familiarity with command-line Linux environments.
• Must be a U.S. Person.

Nice To Haves

• M.S. or Ph.D. in Engineering or related STEM field.
• 3 to 5 years of relevant engineering or computational simulation experience.
• Proven team leadership and sustained commitment in collective group environments (e.g., athletic team captain, marching band / performing arts leadership, ROTC, volunteer fire/EMS, FSAE/Baja sub-team lead, student organization executive, Eagle Scout / Gold Award, or community service leadership).
• Demonstrated experience working with multiple commercial or open-source solvers (e.g., Ansys Fluent/Mechanical, Abaqus, LS-DYNA, STAR-CCM+, NASTRAN, OpenFOAM, or specialized hydrocodes).
• Prior experience submitting, monitoring, or managing jobs through HPC schedulers (e.g., Slurm, PBS, LSF).
• General literacy across Windows, Linux administration concepts, and basic networking fundamentals-a strong technical curiosity that bridges the gap between pure engineering and IT infrastructure.
• Demonstrated experience building or compiling computational software packages in a Linux/HPC environment (e.g., compiling open-source solvers, custom solver extensions, C/Fortran user-defined functions, CMake/Makefiles).
• Exposure to web or database development tools (e.g., Python web frameworks, REST APIs, SQL, Streamlit/Dash, Open OnDemand).
• Curiosity or experience with next-generation computational workflows, surrogate modeling, Physics-Informed Neural Networks (PINNs), or AI-assisted physics tools.

Responsibilities

• Diagnose and resolve runtime solver errors, custom scripting bottlenecks, GUI/remote desktop integration issues, and job scheduling hurdles across high-core-count clusters.
• Partner with client engineering teams across industries to onboard CAE models, optimize hardware selection, and streamline large-scale simulation execution.
• Build and maintain custom Python and Bash scripts to automate parametric sweeps, optimization loops, and multi-physics simulation pipelines.
• Execute technical benchmarks and scaling studies to demonstrate speedups to prospective/current clients and evaluate new server hardware architectures.

Benefits

• On-Target Earnings (OTE) = Base Salary + Quarterly Technical Comp + Annual Bonus
• Vast Exposure & Accelerated Growth
• High-Accountability Team Culture
• Collaborative Technical Ecosystem
• Flexible Growth Pathways

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level