About Gerra
- Build and scale the software platform that powers 100+ robot deployments monthly
- Design APIs, dashboards, and integrations that make robots usable for Fortune 500 clients
- Translate customer outcomes into product features with immediate ROI
- Partner with deployment leads to ensure Day 1 success at retail stores, hotels, and conventions
- Create the engineering culture, tools, and best practices for the first 10+ hires
- Balance speed with scale — shipping fast while architecting for chain-wide rollouts
- You’ve been an early engineer (seed/Series A) at a startup and built v1 → vX products
- Full-stack or back-end strength; comfortable moving between systems, APIs, and infra
- You know the difference between shipping code and shipping transformation
- You’ve owned critical systems where uptime and reliability meant real-world impact
- You thrive on ambiguity and can build in weeks what others scope in quarters
- You want to be measured by impact: robots deployed, revenue generated, customers transformed
- Month 1: Ship features that directly power the first 20+ deployments
- Month 3: Own the technical backbone for 100+ live robots in the field
- Month 6: Build the systems and team that let us scale nationwide rollouts
- Base salary: $225K–$300K
- Equity: Equity in a profitable, fast-growing company
Skills Required
- Experience as an early engineer at a startup
- Full-stack or back-end development skills
- Experience in building critical systems for uptime and reliability
What We Do
Gerra builds data infrastructure for Physical AI. We collect multi-modal robotics datasets from real-world deployments — synchronized vision, depth, proprioception, IMU, and audio across humanoids, quadrupeds, and mobile manipulators operating in diverse environments. Our goal: enable embodied AI that can actually operate in the physical world. • Hardware-synchronized sensor fusion (<1 ms precision) • 15+ robot morphologies across retail, warehouses, public spaces • Expert-verified success/failure labels with detailed annotation taxonomy • Data structured for imitation learning, reinforcement learning, and foundation-model pre-training Use it to train and evaluate real-world policies: behavior cloning, policy transfer, long-tail robustness — or deploy your own models on our fleet to collect task-specific data. Gerra is building the dataset layer for embodied intelligence — powering the next generation of physical AI systems.
