About the role
Company Overview
Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. At Joby, we've been working to make that dream a reality since 2009 and we're now in the final stages of certifying our aircraft with the FAA. With plans to launch our aircraft in the US and Dubai, we're now scaling manufacturing and preparing for the launch of our commercial service.
Overview
We're looking for a Staff Software Engineer with broad software experience and a strong AI focus to help bring production-grade AI, computer vision, and automation capabilities into the systems that power Joby's manufacturing workflows. In this role, you'll partner closely with software engineers, product, operations, manufacturing, quality, and hardware teams to identify high-impact opportunities, build reliable AI-enabled services, and deploy vision systems that improve inspection, traceability, process monitoring, and decision support. Beyond individual projects, you'll help shape how AI is applied across the team, establishing the patterns and practices that let Factory Systems ship intelligent capabilities with confidence. You'll work in a fast-moving, high-ownership environment at the intersection of software, data, hardware, and aircraft manufacturing—where the output of your work directly improves how we build and scale.
Responsibilities
Identify, prototype, and deploy AI/ML and computer vision solutions that improve manufacturing workflows — use cases like visual inspection, anomaly detection, and traceability
Build reliable AI-enabled services, APIs, and data pipelines that integrate internal systems, manufacturing equipment, and operational data
Build the safeguards that let AI operate in a real factory: measure model quality before and after deployment, and make sure a wrong prediction never silently propagates into a manufacturing decision
Own end-to-end delivery, from requirements discovery through implementation, deployment, monitoring, and iteration
Raise the bar for the whole team by leading technical design discus…
