Controls Engineer, Whole-Body

GRAM; El Segundo (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Relocation bonus

Health coverage

Equity

Job summary

GRAM in El Segundo, CA is seeking a skilled robotics controls engineer to design and implement a real-time, full-body control architecture for a multi‑DOF insectoid system. You will coordinate motion across changing geometry, contact, load, and machine state using production C++ and hardware‑in‑the‑loop environments.

You will develop control‑oriented models, system identification, and safety logic, and you will validate results on physical hardware.

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• Experience developing feedback control for a multi-DOF robot or similar system.
• Strong C++ and Python skills; knowledge of dynamics, optimization, numerical methods.

Responsibilities

• Design whole-body controllers coordinating motion and contact forces across DOFs.
• Implement real-time control software with timing, stability, saturation, fault handling.
• Develop models, system identification, and actuator characterizations.
• Integrate state estimation, trajectory generation, embedded systems, safety logic.
• Define envelopes for tracking error, stability, disturbance rejection, latency.
• Build simulations, hardware-in-the-loop tests, and physical-machine tests.
• Differentiate controller defects from estimation errors and unmodeled dynamics.
• Document model validity and verify results on hardware.

Skills

Real-time control

Multi-DOF robotics

C++ & Python

Rigid-body dynamics

Optimization

Numerical methods

Education

Bachelor's degree in mechanical engineering, electrical engineering, robotics, controls, applied mathematics, or related field

Tools

Drake

Pinocchio

MuJoCo

ROS 2 control

Eigen

Job description

GRAM is a self replication company creating populations of insectoids for the physical economy.

Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will survive, coordinate, and recover without humans. We believe scalable machine labor requires more than single-agent task generality or machines shaped in our image.

About the role

You will build the real-time control architecture that coordinates an insectoid's full body across changing geometry, orientation, contact, load, and machine state. The work spans dynamics, contact constraints, force allocation, trajectory tracking, actuator limits, transitions, disturbance rejection, and recovery, carried through production C++ and onto hardware. You will develop the control-oriented models, system-identification methods, and hardware-in-the-loop environments needed to build and validate the controller, then establish its measured operating envelope on the physical machine.

What you will do

• Design whole-body controllers that coordinate motion and contact forces across coupled degrees of freedom.
• Implement real-time control software in C++ with explicit timing, numerical stability, saturation, and fault behavior.
• Develop control-oriented dynamics models, system-identification experiments, and actuator characterizations that improve controller fidelity.
• Integrate state estimation, trajectory generation, manipulation, embedded systems, and safety logic into one testable control path.
• Define quantitative envelopes for tracking error, contact stability, disturbance rejection, transition success, compute latency, and recovery.
• Build controller simulations, hardware-in-the-loop tests, and physical-machine tests that reproduce failures and prevent regressions.
• Use test evidence to distinguish controller defects from estimation error, unmodeled dynamics, actuator limits, and mechanical faults.
• Document model validity and confirm simulated results on physical hardware.
• Bachelor's degree in mechanical engineering, electrical engineering, robotics, controls, applied mathematics, or a related field, or equivalent practical experience.
• Demonstrated experience developing feedback control for a multi-degree-of-freedom robot, vehicle, aerospace platform, or other nonlinear physical system.
• Strong C++ and Python skills and command of rigid-body dynamics, linear systems, optimization, and numerical methods.
• Hands-on experience with a controls or dynamics stack such as Drake, Pinocchio, MuJoCo, ROS 2 control, Eigen, or an equivalent internal framework.
• Deployed a controller on physical hardware and can present measured tracking, stability, latency, or disturbance-rejection results plus a failure that required redesign.

Preferred experience

• Whole-body control, model predictive control, inverse dynamics, contact optimization, or legged robotics.
• Real-time Linux, deterministic communications, actuator torque control, or safety-rated motion systems.
• Controls deployed in aerospace, autonomous vehicles, industrial robotics, or field robotics.

Compensation and benefits

The annual base salary range for this El Segundo, California position is $140,000–$200,000. Health coverage, benefits, and generous equity come with the role. This is a full-time role on-site in El Segundo, California. A relocation bonus is available. We hire to start as soon as possible. We review what you’ve shipped; if it’s the caliber we seek, interviews take about a week, start to finish. We treat your work and conversations with discretion.