Aerodynamics Engineer

Senior Aerodynamics & Flight Sciences Engineer

Client: Defense Hardware Delivery

Location: Herndon, VA (on-site) — Denver, CO considered for the right candidate

Reports to: VP of Aircraft Design / VP of Aircraft Programs

Type: Full-time

Base: Starting at $140,000, commensurate with experience, plus meaningful early-stage equity and bonus eligibility ranging up to $175,000

Clearance: U.S. Person required; ability to obtain and hold a security clearance

About Us

Our client builds a family of high-altitude balloon platforms, balloon-deployed ISR and communications buses, autonomous glide vehicles, and high-altitude dispensers alongside a family of ultra long range (ULR), affordable-mass, ground-launched one-way attack and ISR drones.

Our systems are flying and being tested in operationally relevant environments today, including active RF and flight test campaigns in Ukraine. We are small, moving fast, and every engineer here owns hardware that flies.

The Role

You will own the aerodynamic model and outer mold line for our ULR airframes: body shape, control surfaces, static margin, stability and control derivatives, and the pipeline that turns geometry into the coefficient tables that our 6-DOF and flight software consume. Hands-on and end-to-end — low-fidelity sizing through CFD, wind tunnel, and flight test correlation.

Just as important: you will own how flight sciences data moves through this company. We want someone who has seen what a modern test data stack looks like — real-time telemetry capture, automated test orchestration, contextualized datasets, instant post-test review — and can build that discipline into Aventra from the start rather than bolting it on at 200 people. If you have used or built on platforms like Nominal Core or Connect, or written the internal tooling that turns raw wind tunnel and flight test data into a design decision the same day, that experience is directly on point here.

We are equally interested in how you use modern AI tooling. Agentic coding assistants, AI-assisted CFD pre/post and mesh generation, surrogate and reduced-order models trained on test data, LLM-driven analysis over test archives — we do not treat these as novelties. An engineer who leverages them well produces multiples of the design iterations of one who does not, and we want someone who has already internalized that.

What You'll Own

• Aerodynamic model and OML for ULR airframes: configuration, control surfaces, static margin, stability and control derivatives

• The geometry-to-coefficient-table pipeline feeding 6-DOF simulation and flight software

• CFD across the subsonic and transonic regimes (OpenFOAM, Ansys Fluent, STAR-CCM , or equivalent), calibrated against low-fidelity methods (AVL, XFOIL/XFLR5, OpenVSP, Missile DATCOM) and test data

• Wind tunnel campaigns end to end: test article definition, instrumentation plan, execution, data reduction, and the design changes that follow

• Flight test support: pre-flight prediction, post-flight correlation, and closing the loop on the model

• The flight sciences data and tooling stack — telemetry ingest, automated test review, visualization, and analysis tooling that lets the team go from test complete to decision in minutes, not days

• Vehicle-level trades with propulsion, structures, and avionics, under real cost and manufacturability constraints for affordable-mass production

Required Skills

• BS or higher in Aerospace, Aeronautical, Astronautical, or Mechanical Engineering

• 4 years of aerodynamics, flight sciences, or aircraft design experience, ideally at a fast-moving UAS, defense-tech, or launch company

• Hands-on CFD experience with demonstrated judgment about where fidelity is worth paying for and where it is not

• Wind tunnel experience from planning through data reduction, on a real program

• Strong scripting and tooling ability (Python, MATLAB, C /Rust a plus) — you build your own analysis and visualization tools rather than waiting on someone else

• Fluency with modern test data infrastructure and AI-assisted engineering workflows

• Track record of taking an airframe or major configuration from concept through test and flight

• Bias toward low-cost, manufacturable airframes: meeting the kinematic and packaging requirement with a simpler shape or cheaper fabrication route than the legacy answer

Bonus Points

• Prior work on tactical UAS, munitions, glide vehicles, or high-altitude platforms

• Experience standing up a test data platform or flight test review process at a growing company

• High-alpha, post-stall, or transonic aerodynamics experience, and the wind tunnel discipline to trust the numbers

• GNC or 6-DOF plant model exposure — the airframe sets the kinematic ceiling and the plant model decides what's real; we don't split those concerns across org charts

• Prior flight test range experience, including international deployments

Additional Requirements

• Willingness to work extended hours and occasional weekends around test campaigns and program milestones

• Travel to test ranges and customer sites, including international travel