Multi-physics system simulation software for vehicle and mobility engineering
Gamma Technologies builds GT-SUITE, a multi-physics simulation product whose stack pairs legacy numerical code (Fortran, C++) and desktop UI frameworks (Swing, JavaFX, Qt) with PyTorch, TensorFlow and Amazon Bedrock. Engineering-heavy, accelerating hiring targets ML tooling, a generative AI services platform and digital twin work, pointing to a push to extend physics models into AI-assisted, cloud-delivered workflows.
Gamma Technologies, founded in 1994 and headquartered in Westmont, IL, develops and licenses the GT-SUITE system simulation software. The product covers physics domains such as fluid flow, thermal, mechanical, electrical and chemistry modeling. Customers use it for engineering work spanning powertrains, electric vehicles, batteries, fuel cells, HVAC and aerospace systems. The privately held company employs 201–500 people and currently hires in the United States.
Gamma Technologies uses C++, Fortran, Java and Python, desktop UI frameworks Swing, JavaFX and Qt, ML libraries PyTorch, TensorFlow and scikit-learn, and AWS services including Bedrock, ECS and Cognito, managed with Terraform.
Job posts point to new GT-SUITE features for mobility systems, improved model deployment workflows, GT-SUITE ML tools, digital twin projects, C code metamodel export and a generative AI services platform.
Yes. Hiring is accelerating and concentrated in engineering at mid and senior levels, with smaller product and sales needs, all based in the United States.
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Gamma Technologies'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.