Description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.
As a Senior Staff (L5) Environmental Control System (ECS) Engineer, you will take full technical ownership of the Environmental Control System architecture, analysis, design, and integration for a dedicated special access program.
Responsibilities
- Lead ECS architecture definition and trade studies to meet vehicle thermal, electrical, mass, and volume constraints.
- Design and analyze vehicle air inlets, scoops, ducting networks, and ram-air cooling circuits.
- Perform first-principles thermodynamic and heat transfer hand calculations, backed by 1D fluid-thermal network modeling.
- Author technical specifications and statements of work for ECS hardware, evaluate vendors, and drive supplier technical execution.
- Define qualification and verification test plans, design test rigs, support instrumentation/DAQ setup, and execute test campaigns.
- Process flight-test thermal and fluid data to identify discrepancies, resolve anomalies via root-cause investigation, and implement rapid design changes.
Requirements
- 8 to 15 years of direct experience in aerospace Environmental Control System and vehicle thermal/fluid system development.
- B.S. or M.S. in Mechanical Engineering, Aerospace Engineering, or a related technical discipline.
- Deep mastery of thermodynamics, fluid dynamics, and heat transfer applied to aircraft or defense systems.
- Demonstrated capability with 1D system modeling and ability to size systems.
- Experience in 3D CAD modeling, routing, and drawing release.
- Proven track record sourcing COTS/custom aerospace components, driving suppliers to schedule, and assembling benchtop or vehicle-level test setups.
- Demonstrated ability to self-direct, prioritize technical tasks without oversight, and deliver functional hardware under tight timelines.
Preferred Qualifications
- Familiarity with aerospace environmental requirements and test standards.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://jobs.lever.co/shieldai/448bf923-3e10-4028-8e2c-d25fd879e94d