Robotics Engineer (Simulation, Hardware & Deployment)

Metamorphic•Palo Alto, CA

11h

About The Position

A core part of our mission is bringing our neuro-aligned models into the physical world. We are hiring a robotics engineer to advance this mission. You will own the end-to-end loop that takes a policy from simulation onto physical hardware and back again: integrating and maintaining physics simulators, building and operating teleoperation rigs for demonstration collection, bringing up and maintaining real robot platforms, and ensuring our software stack, drivers, calibration pipelines, and data recording infrastructure are reliable enough for both rapid iteration and reproducible experiments. This role sits at the intersection of robotics engineering, scientific infrastructure, and applied research. You will have substantial autonomy over how our simulation environments, hardware integrations, and teleoperation workflows are designed and evolved as our research scales from single-arm tabletop manipulation toward bimanual and humanoid platforms.

Requirements

Bachelor's degree or equivalent experience in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field
Strong software engineering skills and strong working proficiency in Python; comfort with C++ for real-time and driver-level work
Hands-on experience operating, debugging, and developing robotics simulation pipelines
Hands-on experience bringing up and operating real robot hardware including end-effector integration, calibration, and safety procedures
Working knowledge of the ROS/ROS 2 stack, including writing and debugging nodes, working with TF, message types, launch files, and integrating sensors (RGB-D cameras, force/torque sensors, IMUs)
Experience collecting, recording, and validating robot trajectory data, including handling synchronization across cameras, proprioception, and action streams
Comfort working closely with ML researchers to deploy and evaluate policies, diagnose sim-to-real gaps, and iterate on the integration between models, environment, and hardware

Nice To Haves

Experience designing and operating teleoperation systems
Familiarity with sim-to-real transfer techniques
Ability to read and debug GPU code when diagnosing performance issues in simulators or inference stacks
Experience with motion planning, inverse kinematics, and classical control stacks
Familiarity with containerization and reproducible environments for robotics workloads
Background in computer vision, particularly multi-view geometry, camera calibration, and 3D scene representation

Responsibilities

Integrating and maintaining physics simulators
Building and operating teleoperation rigs for demonstration collection
Bringing up and maintaining real robot platforms
Ensuring our software stack, drivers, calibration pipelines, and data recording infrastructure are reliable enough for both rapid iteration and reproducible experiments
Designing and evolving simulation environments, hardware integrations, and teleoperation workflows as research scales from single-arm tabletop manipulation toward bimanual and humanoid platforms