Robotics Software Engineer (Spatial & Interfaces)

Overview

We are an early-stage startup developing ‘bolt-on’ autonomy for the agricultural sector - hardware and software that turn existing tractors, sprayers, and harvesters into autonomous machines. We fuse advanced vision / AI navigation with rugged, field-tested hardware to deliver cost-effective and intuitive autonomy that farmers can trust.

We raised our initial funding three years ago and built our core technology with a lean team of a few engineers. We’ve proven the core technology in the field, validated market demand, and are now entering commercial trials in NZ and California - so we’re growing our engineering team over the coming months.

We’re hiring roles across software / ML, mechanical, and electronics, with multiple roles open that can be shaped around the strengths of the right candidates.

We are a small team with a lot to do, so you’ll need to be highly self-driven, able to figure things out without a detailed brief, and know when to push hard and when to be pragmatic.

The Role

We’re looking for an engineer to take ownership of the interfaces and backend systems that define how operators plan and interact with our autonomous machinery. This is a hybrid frontend / backend role that spans spatial interfaces, real-time telemetry, task planning, and the cloud / edge platform that powers it all.

Our stack includes Angular, OpenLayers, Python, and a unified backend shared between edge devices and the cloud. This role suits someone who enjoys building complex, interactive systems end-to-end - moving fluently between UI, APIs, and core logic.

Key Responsibilities

• Full-stack development across TypeScript (Angular, OpenLayers ) and Python
• Build real-time telemetry interfaces and interactive planning tools
• Design spatial UIs for layout, routing, and autonomous operation
• Develop task / state models and edge / cloud sync logic for robust workflows
• Create tools that balance automation with operator control
• Extend interface into 3D to support spatial awareness and planning
• Strengthen and extend permissioning and security across operator and machine contexts

Who You Are

Preferred Skills / Experience

Practical details

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