SARA is a Cypress, CA defense research contractor building hardware around electromagnetic, acoustic, and plasma effects, plus autonomous drone platforms. Its stack pairs circuit simulation (SPICE, PLECS, RTDS) with UAV autopilots (PX4, ArduPilot) and edge AI on NVIDIA Jetson, signaling a push toward AI-enabled autonomy. Adopting Deltek Costpoint points to a move off spreadsheet planning toward integrated MRP, and hiring is engineering-heavy and accelerating.
Scientific Applications & Research Associates (SARA), Inc. is a privately held research and engineering firm founded in 1989 and headquartered in Cypress, California. The company develops custom technologies for defense and government customers, spanning high-power microwave, EMP, ELF, laser, and acoustic energy systems. Applications include force protection, renewable energy, unmanned aerial vehicles, small robotics, and specialized testing. SARA employs between 201 and 500 people and hires within the United States, with work spanning engineering, manufacturing, research, and contracts.
SARA uses SolidWorks, Altium Designer, SPICE/LTspice, PLECS, MATLAB, Python, C++, PX4, ArduPilot, ROS, NVIDIA Jetson, CUDA, PyTorch, TensorFlow, OpenCV, plus SAP and Oracle, and is adopting Deltek Costpoint.
Yes. Engineering dominates SARA's open roles and hiring is accelerating, mostly at senior and mid levels, with smaller needs in legal, manufacturing, and research, all in the United States.
SARA is prototyping high-power electromagnetics equipment, integrating UAV flight controllers, building Jetson-based edge AI with object tracking and SLAM, and implementing Deltek Costpoint for manufacturing MRP.
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Scientific Applications & Research Associates (SARA), Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
