Structural performance software for critical energy infrastructure
Akselos builds digital-twin and asset-integrity software for energy and chemical facilities, grounded in MIT-derived finite-element algorithms. The tech stack (Python, SQL, GCP, Azure, Terraform, Ansible) reflects a cloud-native, infrastructure-as-code maturity typical of companies managing safety-critical workloads at scale. Active hiring is heavily engineering-focused (7 of 8 open roles) across junior-to-lead levels, with accelerating velocity — paired with backend-performance and reliability initiatives in their project list — suggests they're scaling both the platform's computational capacity and its safety-assurance practices in parallel.
Akselos develops Structural Performance Management (SPM) software that helps operators of critical infrastructure — primarily energy assets — monitor real-time asset conditions and predict maintenance needs using physics-based digital twins. Founded in 2012 and based in Lausanne, the company leverages proprietary algorithms refined through 15 years of MIT research. They operate globally with over 100 employees across five continents, serving clients in Europe, North America, and Asia-Pacific. The platform runs on-premises and in cloud environments (GCP, Azure), handling complex finite-element simulations and continuous condition monitoring for safety-critical applications.
Python, SQL, GCP, Azure, Linux, Terraform, Ansible, and Jira. The mix reflects cloud-native infrastructure for handling large-scale simulations and distributed deployments.
Currently hiring in Vietnam and the United States, with headquarters in Lausanne, Switzerland.
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