We build full-size commercial autonomous robots that mow large properties without an operator in the seat. They run in real terrain — wet grass, dust, heat, GPS dropouts, unstructured environments — for municipalities, DOTs, and commercial contractors across North America. Our machines ship today, and they work. What this category becomes over the next decade is still being written — we plan to write most of it. We're hiring a senior ROS2 engineer to help us do it. The core of this job is developing in ROS2: building, extending, and shipping the software that makes our machines do what they do. New behaviors, new capabilities, better decisions in the field. That's the day-to-day. Within that, two areas have outsized leverage on where the platform goes — and you'd help us decide where to push hardest: The fleet problem. We're scaling toward thousands of units operating in the field. That means treating robots more like servers — telemetry, observability, OTA updates, fleet-wide health, remote diagnostics, mission orchestration, the whole stack that lets a small team operate a large fleet without things falling apart. If you've done backend or distributed systems work and want to bring that discipline to robotics, this is where it shows up. The perception problem. LiDAR is great until it isn't. It can’t tell you a dark patch is standing water, that a shirt on the ground is soft, or that the thing twenty feet ahead is a person, a deer, or a fence post — distinctions that matter when you're deciding whether to stop, slow, reroute, or proceed. Camera-based vision that complements LiDAR in unstructured outdoor environments is one of the highest-leverage problems we have. If computer vision is what gets you out of bed, there's a charter for you here. We'd be thrilled to hire someone strong on one and curious about the other. We don't expect both at world-class depth — but we do expect deep ROS2 fluency. That's the constant.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed