Robotics Hardware & Data Engineer

About us:

Calder is solving the data bottleneck for embodied AI and world models. Today's AI models lack the real-world, 4D data needed to reason on spatial problems and operate in physical environments. We capture, process, and deliver high-fidelity human-generated spatial data at scale, providing the substrate that trains the next generation of generalizable models for manipulation, navigation, and interaction.

About the role:

We're looking for a Robotics Hardware / Data Engineer to design the hardware and software interfaces that power robot teleoperation and large-scale data collection. You'll own the systems that let human operators control robots and that turn every session into clean, high-fidelity training data. This is a hands-on role spanning mechatronics, embedded software, and ML data pipelines — ideal for someone who's equally comfortable with a motor driver and a training loop.

• Design and build hardware interfaces for robot teleoperation — mapping human input to robot control in real time.

• Develop data-collection systems that record synchronized, high-quality sensor, actuation, and video streams for downstream robot learning.

• Work across the stack: motor control, signal processing, and low-latency communication between operator hardware and robots.

• Build the tooling and pipelines that validate, clean, and structure collected data for ML training.

• Partner across engineering, operations and research teams to make sure the data we capture matches what models actually need, and feed learnings back into hardware and catalog design.

• Prototype quickly, debug real hardware, and iterate on rigs, controllers, and capture setups.

About you:

• Background in mechanical/mechatronics engineering, robotics, or a closely related field.

• Hands-on experience with motors, robotic control, and signal processing.

• Familiarity with machine learning and robot learning — you understand how data becomes a trained policy.

• Comfort working across hardware and software: embedded systems, real-time control, and data pipelines.

• A builder's instinct: you like making physical systems work reliably in the real world.

Nice to have:

• Experience with teleoperation systems or large-scale robot data collection.

• Familiarity with the robot learning research community (e.g. CoRL) and modern imitation/RL approaches.

• Experience designing data schemas or catalogs for ML training.

Calder is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more here.
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