Teams at Gigaton

Build, test, deploy, and optimize machine learning models, controllers, and infrastructure for autonomous industrial control systems. Collaborate across research, engineering, and customer teams to deliver scalable solutions that improve plant efficiency and reduce carbon emissions. Contribute to ML innovation, software architecture, development tooling, engineering best practices, and end-to-end product delivery.

Lead and scale a high-performing software engineering organization building real-time AI control and optimization systems for heavy industrial plants. Responsibilities include coaching engineers and engineering managers, strengthening software quality and delivery practices, aligning engineering plans with company priorities, supporting machine learning and research teams, making technical trade-offs, and developing future technical leaders. The role requires continued technical involvement in architecture, debugging, design reviews, and pairing within a complex, safety-critical environment.

Open talent pool invitation: Gigaton seeks exceptional candidates across engineering, machine learning, product, commercial, and operations. Submit an application describing your background; the team will review and contact potential matches. Offers equity, flexible working, 30 days holiday, and a pension.