Computational Fluid Dynamics Engineer Staff / FULL TIME REMOTE

Lockheed Martin Corporation•Eagan, MN

27d•$104,500 - $208,150•Remote

About The Position

We are committed to work life balance by promoting this REMOTE telework option. These job requirements allow the employee to work their entire schedule somewhere other than a Lockheed Martin designated office or job site. WHAT WE'RE DOING At Sikorsky, a Lockheed Martin Company, we are at the forefront of aerospace innovation, driving the development and deployment of cutting-edge technology in the field of aviation. We solve the great problems of our times with innovative technologies that define eras. While no one knows what's going to change the world next, our people are already working on it. THE WORK We are seeking an Computational Fluid Dynamics Engineer Staff to support our Sikorsky product lines. Role Overview Lead development, validation, and application of CFD solutions for next generation rotorcraft and air vehicles. Deliver predictive analyses that shape design decisions throughout the product lifecycle. Integrate meshing, turbulence modeling, multi physics coupling, and high performance computing (HPC) into robust simulation workflows. As a key member of our Fluid Dynamics Engineering team, you will: Design and execute CFD studies using high fidelity methods (RANS, DES, LES). Build and manage complex meshes for isolated and full vehicle rotorcraft configurations. Couple CFD with thermal, structural, and other physics domains. Optimize simulations with AI driven techniques and uncertainty quantification. Operate HPC resources (Linux, PBS/Slurm, MPI, OpenMP, CPU/GPU) to run large scale analyses. Automate workflows with Python, Bash, MATLAB, or Java scripts. Mentor junior engineers and coordinate cross functional technical reviews. Present results clearly to engineers, managers, and external stakeholders. This position will require the selected candidate to have an active Secret level U.S. government security clearance before starting with Lockheed Martin. U.S. citizenship is a requirement for consideration. WHY JOIN US You will have the opportunity to drive innovation and transformation across our factories, leveraging industry-leading technologies and collaborating with cross-functional stakeholders to shape the future of manufacturing. This role offers a unique blend of autonomy, strategic influence, and technical expertise, allowing you to make a lasting impact on our operations and advance your career as a technology leader.

Requirements

Bachelor's in Mechanical/Aerospace Engineering, Applied Mathematics, or engineering degree
10 or more years of Computational Fluid experience
5 or more years of lead experience
Active secret or higher clearance

Nice To Haves

PhD preferred
Expertise in commercial/US government CFD tools (e.g., STAR CCM+, HEEDS, CADENCE, FUND3D, CREATE AV Helios)
Apply AI/ML methods to CFD and optimization pipelines
Conduct uncertainty quantification (UQ) analyses
Experience with turbulence modeling (RANS, DES, LES) and multi physics coupling (heat transfer, FSI)
Deep knowledge of rotorcraft aerodynamics and full vehicle CFD modeling
Manage HPC environments (Linux, job schedulers, MPI, GPU/CPU architectures)
Develop advanced automation scripts (Python, Bash, MATLAB, Java)

Responsibilities

Lead development, validation, and application of CFD solutions for next generation rotorcraft and air vehicles.
Deliver predictive analyses that shape design decisions throughout the product lifecycle.
Integrate meshing, turbulence modeling, multi physics coupling, and high performance computing (HPC) into robust simulation workflows.
Design and execute CFD studies using high fidelity methods (RANS, DES, LES).
Build and manage complex meshes for isolated and full vehicle rotorcraft configurations.
Couple CFD with thermal, structural, and other physics domains.
Optimize simulations with AI driven techniques and uncertainty quantification.
Operate HPC resources (Linux, PBS/Slurm, MPI, OpenMP, CPU/GPU) to run large scale analyses.
Automate workflows with Python, Bash, MATLAB, or Java scripts.
Mentor junior engineers and coordinate cross functional technical reviews.
Present results clearly to engineers, managers, and external stakeholders.