Autonomous Operations Process Engineer
Ornata
| Company | Ornata |
| Category | Uncategorised |
| Location | Richmond |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 13 May 2026 |
| Last verified | 4 Aug 2026 |
| Source | Employer ATS (workable) |
Description
About Ornata Ornata is building the remote operations platform for agriculture. We help farms operate machinery without a human in the cab, using the equipment they already own. Our service combines retrofit autonomy hardware, remote operators, AI, and operational systems to unlock the benefits of autonomy for every farm. We are working with some of Australia’s leading broadacre farming businesses and are now building the operational foundations required to scale safely, reliably, and repeatably. About the role We are looking for an Autonomous Operations Process Engineer to help define how remote machinery operations are performed at Ornata. This is a hands-on operations engineering role. You will spend significant time working directly in remote operations, learning how our systems behave in the real world, then turning that experience into clear procedures, checklists, decision trees, training material, and platform requirements. The objective is simple but important: there should be no action taken by a remote operator that is not defined in an operating process. You will be responsible for building the process layer that allows Ornata to scale from a small expert team into a repeatable, auditable, high-quality remote operations service. Responsibilities Operate Ornata-enabled machinery remotely as part of the operations team. Turn live operational experience into workflows, clear SOPs, operator guides, checklists, decision trees, and escalation procedures. Own the documentation update cycle for remote operations procedures. Review incidents, near misses, operator feedback, customer feedback, and engineering changes to identify required process updates. Ensure procedures are practical, usable, and followed by operators in real-world conditions. Help define handover processes, communication protocols, stop/go criteria, authority limits, and operational logging requirements. Identify where operator ambiguity exists and design process improvements to remove it. Work with the engineering team to define product and platform features that improve operational structure, consistency, and safety. Support operator onboarding and training as Ornata grows the remote operations team. Build the foundations for a scalable operating system for autonomous and remotely operated farm machinery.
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