Outsourced engineering for aerospace, automotive ADAS, medtech and robotics
ALTEN Technology USA delivers product development engineering on-site and from US delivery centers. Its stack pairs space-grade embedded tooling (RTEMS, PetaLinux, SpaceWire, RS-422) with automotive simulation (MATLAB, Simulink) and cloud ML platforms, while adoption of ISA/IEC 62443 and NIST points to growing OT cybersecurity work. Hiring is accelerating and overwhelmingly engineering-focused, weighted toward mid and senior talent.
Notable leadership hires: Director of Business
ALTEN Technology USA is an engineering services firm headquartered in Greensboro, North Carolina, with offices including Denver, CO and Troy, MI. Founded in 1988 and part of a public company, it employs 501–1,000 people. It supports clients in aerospace, medtech and life sciences, robotics and unmanned systems, automotive OEMs and tier 1 suppliers, commercial and electric vehicles, and rail. Engagements range from embedded staff at client sites to work packages executed at its own delivery centers.
Its stack includes CATIA, SolidWorks, Altium Designer, OrCAD, MATLAB, Simulink, C++, Python, RTEMS, PetaLinux, Polarion, Jira, plus AWS, Azure, GCP, Databricks, PyTorch and TensorFlow.
Yes. Hiring is accelerating and dominated by engineering roles, mostly mid and senior level, with smaller openings in manufacturing, sales and data, all in the United States.
Job posts point to ADAS system integration, HIL test bench development, satellite flight software development and verification, new product introduction builds, and BIW stamping assemblies.
Other companies in the same industry, closest in size
ALTEN Technology USA'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.