As the Founding Robotics Engineer at Caldera Dynamics, you will lead the development of our Isaac Sim environment to orchestrate complex manufacturing workcells. You’ll bridge the gap between simulation and reality, implementing trajectory execution, 6DOF pose estimation, and DAG-based execution models to automate the production of high-precision electromechanical components end-to-end.
Founding Robotics Engineer at Caldera Dynamics
Join Caldera Dynamics as a Founding Robotics Engineer to build the world's first fully autonomous manufacturing lines, led by former Tesla and Google DeepMind engineers. You’ll own the entire robotics stack—from Isaac Sim environments to physical dual-arm cells—automating the production of complex electromechanical assemblies with a salary of $150k-$250k plus significant equity. This is a rare opportunity to define the technical foundation of a VC-backed startup rebuilding the global manufacturing stack for the age of AGI.
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Location
San Francisco, United States
Compensation
$150k-$250k + Equity
Company
Caldera Dynamics
Role overview
Caldera is building fully autonomous manufacturing lines powered by general-purpose robotics, starting with electromechanical assemblies like drone motors and actuators. The future of manufacturing will look very different in the age of AGI and robotics. The companies that win will rebuild the design and manufacturing stack to allow rapid, autonomous iteration of physical hardware. We are building that platform.
What you will do
- Build and manage the NVIDIA Isaac Sim environment, creating reliable CAD-to-sim pipelines for complex manufacturing assets and workcell layouts.
- Design a DAG-based execution model to orchestrate the full manufacturing process across hydraulic presses, winding machines, and dual-arm platforms.
- Implement robust 6DOF pose estimation, object tracking, and trajectory planning using ROS 2 and MoveIt to drive physical robots from simulated states.
Who this is a fit for
- 2-4 years of experience building robotics software that spans both high-fidelity simulation (Isaac Sim) and production-grade physical hardware.
- Proven expertise in ROS 2, MoveIt, and 6DOF pose estimation from point clouds or depth data using algorithms like FPFH or ICP.
- Strong production-quality Python skills and the ability to operate as a solo engineer while managing cloud-based GPU infrastructure via AWS/Terraform.
Why this role is remarkable
- Work directly with founders from Tesla and Google DeepMind to redefine how physical products are manufactured in the age of AGI.
- Own the entire robotics stack from simulation to physical hardware deployment, with significant equity (0.5% - 1.5%) in a high-growth startup.
- Join a mission-critical effort to bring high-scale, low-cost autonomous manufacturing back to the West through cutting-edge general-purpose robotics.
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