AI and robotics platform for critical infrastructure inspection and predictive maintenance
Gecko Robotics operates a sensor and robotics platform paired with AI for real-time monitoring of physical assets—boilers, pipelines, naval vessels, and industrial equipment. The tech stack (Python, C++, GCP, AWS, Vertex AI, Spark, Kubernetes) reflects a data-heavy backend architecture supporting hardware-software integration. Hiring is heavily weighted toward engineering (10 roles) with balanced mid-to-senior distribution, while active projects (Navy predictive maintenance, platform evolution, Salesforce automation) show simultaneous focus on government contracts, product maturity, and sales infrastructure—typical of a hardware-plus-software company scaling operationally.
Gecko Robotics builds an operating platform called Cantilever that combines fixed sensors and mobile robots with machine learning to monitor and predict failures in critical infrastructure. The product targets asset-intensive industries—energy, manufacturing, utilities, defense—providing teams with actionable data for maintenance planning and capital optimization. Founded in 2013 and based in Pittsburgh, the company employs 201–500 people across engineering, data, product, sales, and operations. They are actively hiring in the United States and United Arab Emirates, with particular momentum in government sector expansion and platform development.
Python, C++, JavaScript, Java, Scala, React, SQL, Apache Spark, GCP, AWS, Azure, Kubernetes, Docker, Terraform, GitHub, Jira, Salesforce, NetSuite, and Vertex AI for ML inference.
Predictive maintenance for US Navy assets, boiler inspection automation, Cantilever platform evolution, Salesforce integration, government business expansion, and scaling bespoke customer deployments.
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