Seismic monitoring instruments, networks and cloud data services
Nanometrics builds seismometers, digitizers and turnkey seismic networks, backed by cloud data processing for earthquake, tsunami and induced-seismicity monitoring. The stack pairs embedded-style C++ with an AWS, Kubernetes, Helm and Argo CD platform, and Rust adoption points to a rewrite of next-generation instrumentation software. Engineering-led hiring that is accelerating, alongside sales friction and technical win-rate pains, suggests a push to sell a cloud data platform.
Nanometrics Inc. designs precision seismic instrumentation, including seismometers, accelerometers and digitizers, and delivers full seismic networks from design through installation. It also runs real-time data acquisition and processing services from a cloud-based, around-the-clock data center. Customers include scientific institutions, universities, geological surveys and energy producers that need induced seismicity and frac monitoring. Founded in 1986 and privately held, the company employs 51–200 people and is headquartered in Kanata, Ontario, with offices in Calgary, Beijing and Houston.
Nanometrics uses C++, Java, Rust and Python with Angular and TypeScript, running on AWS (RDS, Lambda, CloudFront) with Kubernetes, Docker, Helm and Argo CD, plus Grafana, Nagios, Jira, SAP and Zendesk.
Job posts point to next-generation scientific instrumentation software, a cloud-based earth data management platform, supplier multi-sourcing and technical proposal work for RFPs.
Nanometrics is headquartered in Kanata, Ontario, Canada, with offices in Calgary, Beijing and Houston. Current hiring is focused in Canada, mainly in engineering.
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Nanometrics Inc.'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.