The all-in-one, most intuitive, most affordable industrial robots. Backed by General Catalyst.
About the role
We're looking for a seasoned, broad software engineer to join our AI team and build the systems our models depend on. Our AI researchers push the modeling frontier; this role owns nearly everything around it — the data that goes in, the infrastructure that trains and evaluates, the perception plumbing that connects cameras to the robot, and the product surfaces that put all of it in a customer's hands.
What they're looking for
- Experience: You have a strong technical background, including 5-10 years of experience working in complex environments
- Growth + Optimism: You are excited by new domains and challenges, and eager to pick up new context to accelerate your impact
- Clarity of Communication: You excel in written and verbal communication and enjoy leveraging your skills to support your peers
- Impact Driven: You relentlessly seek user impact and value execution over technical idealism
- Proactive Simplicity: You prioritize simplicity, reliability, and velocity and proactively identify opportunities to improve proposed implementations or incumbent systems
- Excelling in Ambitious Environments: You excel in dynamic and ambitious environments, working with a diverse group of individuals and backgrounds
More about this role
About Standard Bots
Standard Bot's mission is to significantly lower the barrier to entry to real-world automation, bringing the power of bits to the world of atoms and unlocking productivity for entire new industries and users. Our user-facing applications and APIs directly empower individuals and developers to jump directly into solving their challenges without the need for a background in robotics or automation. A relentless focus on simplicity and ease of use brings this revolutionary potential to new users and industries.
What You'll Do
We're looking for a seasoned, broad software engineer to join our AI team and build the systems our models depend on. Our AI researchers push the modeling frontier; this role owns nearly everything around it — the data that goes in, the infrastructure that trains and evaluates, the perception plumbing that connects cameras to the robot, and the product surfaces that put all of it in a customer's hands.
The AI team is small, so the surface area is wide and the ownership is real. You may move between adding functionality to the data ingestion pipeline, a camera calibration bug, and a customer-facing feature in the same month — and you'll decide...
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