Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
BurnBot in South San Francisco is building remotely operated systems that manage prescribed fire and clear heavy fuel on challenging terrain. The team develops hardware in-house and deploys for agencies across the western U.S.
We seek engineers who can own autonomy for planning, controls, and safety across field robotics. You’ll work onsite in South San Francisco with some remote work days, contributing to a fast-paced, field-focused robotics effort that serves utility and fire management
Wildfire has stopped being a season. BurnBot builds the machines that get ahead of it — remotely operated systems that apply and contain prescribed fire, and platforms that clear heavy fuel on terrain that isn’t safe for crews.
Our fleet is at work today for PG&E, CAL FIRE, the U.S. Forest Service, Caltrans, fire districts, and tribal nations across California, Oregon, and Washington — treating land at up to 40x the pace of conventional methods. We’re roboticists, engineers, and career fire practitioners. Hardware we design in South San Francisco is in the dirt within weeks, and the people who designed it are usually standing next to it.
Base salary: $150,000 – $200,000 — final offers reflect experience and demonstrated scope.
Burnbot is an Equal Opportunity Employer and does not discriminate based upon race, religion, color, national origin, sex (including but not limited to, pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with one or more disabilities, or other applicable legally protected characteristics.
If you need assistance or accommodation due to a disability, you may contact us at (415) 795-9124 x 1010 or careers@burnbot.com.
A treatment unit is unmapped, sloped, covered in fuel, and sometimes on fire. Our machines have to cover it completely, stay where they’re supposed to be, and stop when something is wrong — often with one operator supervising more than one machine.
You’ll own the autonomy that makes that work: planning, controls, state estimation, and the safety behavior around all of it.