Job Description
Job Description
About Us
At Agtonomy, we’re not just building tech—we’re transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry-leading equipment manufacturers, we’re creating a future where labor shortages, environmental strain, and inefficiencies are relics of the past. Our team is a tight-knit group of bold thinkers—engineers, innovators, and industry experts—who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot.
About the Role
We are looking for expert software engineers to join our growing team. You will play a critical role in developing a cutting-edge autonomous platform deployed in the real world and building a distributed system that spans cloud, app, on-premise, and edge computing. You will be working on challenging projects that push the boundaries of what autonomous machines can do in the field. In this role, you’ll help contribute to various parts of the stack including calibration, configuration, state management, simulation, interfaces, platform and other various layers of a complex robotic system.
What you'll be doing
What you'll bring
What makes you a strong fit
The US base salary range for this full-time position is $160,000 to $220,000 + equity + benefits + unlimited PTO
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.
Benefits
Our interview process is generally conducted in five (5) phases :
1. Phone Screen with Hiring Manager (30 minutes)
2. Technical Evaluation in Domain (1 hour)
3. Software Engineering Evaluation (1 hour)
4. Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 60 minutes)
Software Development Engineer • South San Francisco, CA, US