Cloud HPC platform for engineering simulation and applied AI workloads
Rescale runs a multi-cloud high-performance computing platform across AWS, Azure and GCP, packaging MPI, OpenMP and CUDA workloads alongside commercial simulation suites like ANSYS, Siemens, Dassault Systèmes and COMSOL. Job posts point to a push into agent-driven automation for CAE workflows, backed by OpenAI, Gemini and PyTorch in the stack. A FedRAMP footprint and partner co-sell pipeline focus suggest an enterprise and public-sector go-to-market.
Notable leadership hires: Accounting Director
Rescale, founded in 2011 and headquartered in San Francisco, provides a cloud platform for modeling, simulation and applied AI used in R&D and product engineering. Its customers span aerospace, automotive, energy, life sciences, construction, marine, consumer products and manufacturing. The platform supports commercial and open-source solvers including ANSYS, Altair, Cadence, Synopsys, OpenFOAM, LAMMPS and GROMACS on infrastructure from AWS, Azure and GCP. The privately held company has 201–500 employees and hires in the United States and Pakistan.
Rescale uses Python, Kubernetes, Terraform, MPI, OpenMP and CUDA on AWS, Azure and GCP, plus PyTorch, OpenAI and Gemini for AI, and Salesforce, NetSuite, Okta and GitHub Enterprise internally.
Job posts reference agent-driven automation across engineering and CAE workflows, production-ready agent use cases, cloud migration strategies for customers, and optimizing HPC software for demanding workloads.
Rescale is headquartered in San Francisco, California, and currently hires in the United States and Pakistan across engineering, sales, support, finance, security and legal.
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Rescale'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 →
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