Robotics R&D Engineer III

Insight Global; Redmond; On-site; AUD 120,000 - 180,000; Full time

Job summary

Insight Global is seeking an experienced robotics controls engineer to design, implement, and tune real-time controllers for robot arms and hands. You will bring up hardware, develop high-rate control loops, and integrate teleoperation and data-collection pipelines.

Your work includes system identification, sim-to-real gap analysis, and data-driven reporting. Strong programming skills in C++ and Python, plus ROS 2 experience and a solid background in robot dynamics, are essential.

Qualifications

• BS in Mechanical, Electrical, or Computer Engineering, Robotics, or a related field, or equivalent practical experience.
• 3+ years of hands-on experience implementing and tuning controllers on real robot hardware.
• Strong grounding in robot dynamics and control: rigid-body dynamics, impedance/admittance control, operational-space control, stability and bandwidth analysis.
• Proficiency in C++ and Python.
• Experience with ROS 2 (ros2_control preferred) and real-time Linux-based robot systems.
• Experience with experimental data analysis: designing tests, fitting models, and interpreting frequency- and time-domain responses.

Responsibilities

• Design, implement, and tune real-time controllers for robot arms and multi-fingered hands.
• Bring up new robot hardware: ros2_control hardware interfaces and drivers, high-rate control loops, fault handling and safety limits, and integration with teleoperation and data-collection pipelines.
• Perform system identification of arms and hands.
• Validate controller and model accuracy against hardware, quantify and reduce the sim-to-real gaps.
• Build controller and hardware benchmarks and produce clear, data-driven reports.
• Partner closely with policy researchers to deploy RL and behavior-cloning policies on hardware — tune the controller/policy interface, diagnose failures, and close the loop on training-environment fidelity.
• Write clean, tested code and document systems for a cross-functional team.

Skills

C++

Python

ROS 2

Real-time Linux

Robot dynamics

System identification

Education

BS in Mechanical, Electrical, or Computer Engineering, Robotics, or related field

Tools

ros2_control

MuJoCo

Isaac

domain randomization

Job description

Job Description

Responsibilities

• Design, implement, and tune real-time controllers for robot arms and multi-fingeredhands
• Bring up new robot hardware: ros2_control hardware interfaces and drivers, high-ratecontrol loops, fault handling and safety limits, and integration with teleoperation anddata-collection pipelines
• Perform system identification of arms and hands
• Validate controller and model accuracy against hardware, quantify and reduce thesim-to-real gaps
• Build controller and hardware benchmarks and produce clear, data-driven reports
• Partner closely with policy researchers to deploy RL and behavior-cloning policies onhardware — tune the controller/policy interface, diagnose failures, and close the loop ontraining-environment fidelity
• Write clean, tested code and document systems for a cross-functional team

Skills and Requirements

Minimum Qualifications

• BS in Mechanical, Electrical, or Computer Engineering, Robotics, or a related field, orequivalent practical experience
• 3+ years of hands-on experience implementing and tuning controllers on real robothardware
• Strong grounding in robot dynamics and control: rigid-body dynamics,impedance/admittance control, operational-space control, stability and bandwidthanalysis
• Proficiency in C++ and Python
• Experience with ROS 2 (ros2_control preferred) and real-time Linux-based robotsystems
• Experience with experimental data analysis: designing tests, fitting models, andinterpreting frequency- and time-domain responses

Preferred Qualifications

• MS or PhD in robotics or controls
• Experience with dexterous or multi-fingered hands, tendon-driven or backdrivableactuators, or torque-controlled arms
• System identification and model calibration for physics simulators (MuJoCo, Isaac, orsimilar); familiarity with domain randomization
• Experience deploying learned policies (RL, imitation learning) on hardware, or workingalongside policy researchers
• Familiarity with rigid-body dynamics libraries and optimization tooling
• Experience with teleoperation systems (VR or exoskeleton-based) and data-collectionpipelines
• Experience with force/torque sensing, tactile sensing, or motor-current-based forceestimation

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].