General Application

At Tekton Dynamics, our mission is to empower every manufacturer, no matter their scale, with intelligent robots to invent and build anything.

We are witnessing the start of a new industrial revolution—an era of rapid innovation and advanced manufacturing powered by AI and robotics. We aim to lead this shift by putting these tools into the hands of every manufacturer, ensuring the power to invent and build at scale isn’t a privilege of the few.

But this era of abundance depends on solving a systemic labor crisis. For any economy to advance its industry and secure its supply chains, it must address the work that no longer attracts a human workforce. We are building AI to handle the dull, dirty, and dangerous. By offloading the hazardous and the mundane to intelligent machines, we empower manufacturers to compete globally while driving prosperity locally. In doing so, we enable the creation of new, purposeful jobs—ensuring that the future of innovation remains human-centric, boundless, and accessible to all.

We are:

• Backed by Y Combinator and founders of PayPal, Affirm, Slack – with a $6M seed round. Scout investments by Sequoia, a16z, Accel, and Kleiner Perkins.
• Founding team of AI PhDs and previous startup CTOs – everyone has a founder/CTO background.
• Building with real industry partners from the start – focused on shipping robotic solutions for real-world deployment in record time.

General Application

We don't always have a role posted for every skill we need, but we're always interested in exceptional people. If you're outstanding at something (e.g. perception, motion planning, robotics, controls, simulation, ML, welding, or sales) and you don't see your role listed, this is the place to reach out.

Tell us what you're great at, what you want to work on, and why autonomous manufacturing is the problem you want to spend your time on. Send a CV or portfolio and a few lines on what you'd want to build here.

We read every application.

We are building the "neural stack" for industrial robotics—moving beyond rigid automation toward machines with human-level intuition.

The Tech Challenges:

• High-Fidelity Perception: Developing a custom hardware/software stack for sub-millimeter 3D environment reconstruction.
• Foundational Robotic Manufacturing Models: Training proprietary control models using a massive flywheel of simulation and exclusive real-world industrial data.
• Advanced Policy Learning: Pushing the boundaries of RL, Behavioral Cloning, and Supervised Learning to close the sim-to-real gap.

We don’t just deploy sensors; we build the closed-loop systems that allow robots to see, reason, and act in complex, high-precision environments.