Supersonic airliner and turbofan engine development
Boom Supersonic is building Overture, a commercial supersonic aircraft, alongside Symphony, a custom turbofan engine. The tech stack reveals deep hardware-software integration: CAD/CAM (CATIA, NX, Mastercam) paired with real-time embedded systems (VxWorks, FreeRTOS, QNX), scientific simulation (ANSYS, NASTRAN, MATLAB), and data serialization formats (Parquet, Avro, Protocol Buffers) for high-frequency telemetry and test workflows. The hiring acceleration and engineering-heavy mix (24 of 32 active roles) signal scaling toward certification and prototype validation.
Boom Supersonic, founded in 2014 and based in Englewood, Colorado, is developing Overture—a commercial supersonic airliner—and Symphony, a bespoke turbofan engine to power it. The company employs over 150 people with deep aerospace heritage: team members have contributed to over 220 aircraft and spacecraft programs. The organization is executing on parallel workstreams: engine system design and testing, airframe-propulsion integration, and stand-up of an internal machine shop for manufacturing. Current pain points center on delivery velocity (missed deliveries, workflow friction) and the architectural challenges of building a new engine manufacturer while certifying a novel aircraft type.
Boom is developing Overture, a commercial supersonic airliner, paired with Symphony, a custom turbofan engine. Active workstreams include propulsion system integration, turbine prototype testing, and new machine shop setup.
CAD/CAM tools (CATIA, NX, Mastercam), finite-element and thermal simulation (ANSYS Mechanical, NASTRAN, Thermal Desktop), real-time embedded OSs (VxWorks, FreeRTOS, QNX), scientific computing (MATLAB, NumPy), and data formats (Parquet, Avro, Protocol Buffers, HDF5).
Yes. 24 of 32 current roles are engineering positions, with 15 senior and 11 mid-level openings. Hiring velocity is accelerating, focused on the United States.
Other companies in the same industry, closest in size
Boom Supersonic'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.