Rimba builds a compliance and operational intelligence platform that helps industrial operators transform fragmented operational data into automated, audit-ready reporting. Current Rimba customers include Fortune 50 companies across natural gas, wastewater management, and landfills, leveraging Rimba to combine real-time operational insights with compliance workflows to reduce manual effort and lower the cost of staying compliant.
We're building an edge data agent for industrial systems — software that runs inside factory networks, connects to PLCs/SCADA (Allen-Bradley, Siemens, MQTT, OPC-UA), and securely streams data to the cloud.
We're also embedding small language models at the edge to enable local reasoning, filtering, and intelligent data processing directly inside the network.
This is not a web app. It's a systems problem:
– Reliable services in unreliable environments
– Firewalled networks + intermittent connectivity
– Modular adapters for messy, real-world protocols
– Local buffering, fault tolerance, secure pipelines
You'll work directly on the infrastructure layer that bridges industrial systems, AI, and cloud software. You'll build software that operates in constrained, real-world environments where network reliability, security, and fault tolerance matter.
This isn't a traditional frontend or CRUD application role. You'll be working close to the hardware, protocols, and distributed systems layer — building production-grade software that runs inside operational environments.
You'll have direct ownership from day one and collaborate closely with the engineering team to design resilient systems for industrial data collection and processing.