Paradigm Robotics is an Austin, Texas based robotics startup building rugged, scalable robots for situational awareness in hazardous environments. We serve firefighting, emergency response, public safety, oil & gas, defense, and industrial markets. Our mission is to create a new paradigm of scalable, reliable, and useful robots for real-world hazardous operations - providing critical solutions to the most dangerous problems out there.
We've raised an oversubscribed round from top-tier venture firms. We’re working directly with over 80 of the largest fire departments, law enforcement agencies, industrial teams, and military units across the U.S., including the Air Force, Army, and SERDP. Our robots are built with and for firefighters, first responders, warfighters, and emergency crews.
We’re early - less than 2 years old - a tight-knit team of 10, now building the 5th generation of our robot. After years of prototypes, demos, and pilots, we’re designing our production-ready robot.
These are foundational roles—joining now means helping shape not just the product, but the company, the culture, and the future of our mission.
We are solving problems that matter. Building robots that operate in fire, heat, debris, water, and chaos is incredibly hard, and building them to scale is even harder. That is why we focus on engineering rigor, rapid iteration, and deep user feedback. We ship real robots into real fires for real customers, which means everyone on the team takes ownership, talks to users, and builds.
We value curiosity, autonomy, and low-ego collaboration, and we celebrate wins while owning mistakes. At the same time, we know how to have fun. From stargazing trips, go-kart races, and off-sites to Tulum, to goldfish pranks that turned into a full aquarium, we work hard and enjoy the ride together. This is a place where you can do your best work, learn a ton, build cool things, and make lifelong friends.
Embedded Software Engineer
Full-Time
Start Fall 2025
To us, software engineering requires the same rigor and dedication as mechanical and electrical. We aren’t always seeking perfect code standards or gigabytes of documentation - sometimes, we just need to deploy and learn quickly so we can build even better. But when something is implemented, it should be well designed and justified. And when its in the field, it better be robust.