Job Description
Job Description
Aerodynamics Engineer
Clearance Level: Must be able to obtain an active Secret Clearance due to the nature of the work - Must be a US Citizen
Location: Candidate should expect to be onsite 3 days onsite/wk at a minimum with flexibility to increase onsite presence as needed for program work. Must be within 100 miles from Lexington MA.
At Aquila Technology, you will see our team's passion every day, whether we are building a robust, policy-compliant IT system or stress-testing a system to identify gaps and security vulnerabilities. To own the advantage, we ensure our team owns results and gets the work done right the first time by deploying smart, purposeful solutions that work. Aquila is the right people with the right skills driving the right outcomes. We call this the Aquila Advantage.
About the Role:
Aquila Technology is seeking Aerodynamics Engineer to support one of the nation's premier defense research organizations. The team needs a Aerodynamic Engineer with expertise in aerodynamic design and computational fluid dynamics simulation of aircraft ranging from low-speed to high-speed flow regimes with a focus on hypersonics. Job responsibilities include design analysis of hypersonic aircraft, presenting technical results to both internal and external audiences, and supporting multiple programs related to hypersonic aircraft technology development. We seek engineers who are excited to continuously learn about new tools, technologies and mission areas, and are able to apply their expertise to a wide variety of problems.
The team develops first-of-a-kind prototype systems across underwater, ground, air, and space domains for high-impact national security missions. Engineers work on advanced structural and material systems for space-based imaging and laser communications, thermal management solutions from cryogenic to hypersonic regimes, and aerodynamic design and assessment for unmanned aerial vehicles, airborne pods, and hypersonic platforms. Solutions are realized through the integration of high-fidelity analytical and computational modeling, multidisciplinary simulation, environmental testing, and advanced materials, addressing demanding performance, size, weight, power, and environmental constraints that are at the forefront of current engineering capabilities. Experience using High Performance Computing clusters is required. Experience with one or more of the following CFD solvers and meshing tools is also required: US3D, SPARC, FUN3D, Kestrel, Cart3D, Pointwise, and/or Link3D. Experience in surrogate modeling and machine learning is desired.
The successful candidate will be part of an interdisciplinary engineering team contributing to the development of operational prototype hardware, spanning the full program life cycle from concept development to fielding and test. The position may require special security clearances and travel to meetings and field sites.
Requirements:
- M.S. in Aerospace, Mechanical Engineering or related field. Candidates with a B.S. degree and 3 years of direct relevant experience will also be considered.
- Experience in aircraft design.
- Coursework in computational fluid dynamics and high-speed flows.
- Experience with modern numerical simulation tools for fluid dynamic simulation.
- Experience in programming to develop engineering algorithms.
- The ability to work in interdisciplinary teams.
- The ability to clearly communicate results in oral presentations and written reports.
- Experience with high-performance computing (HPC) environments for large-scale simulations.
- Experience with one or more of the following CFD solvers and meshing tools is also desirable: US3D, SPARC, FUN3D, Kestrel, Cart3D, Pointwise, and/or Link3D.
Must Have
- Degree Level:Bachelor's Degree
- 3 years - Aircraft Dynamics
- 3 years - Major in Aerospace
- 3 years - Aircraft design experience
- 3 years - Algorithm Development
- 3 years - Computational Fluid Dynamics
- 3 years - Hypersonic modeling and simulation
- 3 years - High Performance Computing Software
- 3 years - Computational Methods and Techniques, Computational Techniques
- 3 years - Aerospace Applications
- 3 years - Engineering Simulation (Ansys, Simcenter, SolidWorks Sim, etc.
Preferred Qualifications
- Experience implementing multidisciplinary design optimization (MDO) frameworks.
- Experience in machine learning and surrogate modeling approaches for simulation.
- Relevant graduate level research.
- Familiarity with software development best practices, including version control (e.g., Git).
Nice to Have
- Degree Level: Masters Degree
- Discipline/Major
- Major in Mechanical Engineering
- Rapid-prototyping environment with fast design-debug cycles
- Prototyping and evaluation of hardware components
- Machine Learning/AI
- AI / Machine Learning Algorithm Development
Location: Candidate should expect to be onsite 3 days onsite/wk at a minimum with flexibility to increase onsite presence as needed for program work.
Clearance Level:Interim clearance sufficient for start
Interview process:initial zoom screening, second round screening with AGL, final round interview in person with the team. The team is open to a final interview on Zoom for relocation candidates, but local candidates should be prepared to interview in person.
We are an Equal Opportunity Employer