Apptronik Logo

Apptronik

Controls Engineer - Actuation

Posted Yesterday
Be an Early Applicant
Easy Apply
Hybrid
Austin, TX, USA
Mid level
Easy Apply
Hybrid
Austin, TX, USA
Mid level
Develop and deploy actuator models and low-level controls for humanoid robots. Responsibilities include motor and actuator modeling, torque and current control, system identification, hardware characterization, controller tuning, sim-to-real validation, experiment automation, simulator integration, and hardware bring-up. The role requires strong C++ and Python skills, motor electromechanics expertise, classical control knowledge, and hands-on experience with real robotic hardware.
The summary above was generated by AI

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

JOB SUMMARY

Apptronik is building robots for the real world — to improve human quality of life and help solve the ever-increasing labor shortage. As a Controls Engineer – Actuation on our Controls team, you will own both the actuator models that make our simulation trustworthy and the actuator-level control that runs on real hardware — closing the loop from bench characterization and system identification, through simulator integration, to controller design, tuning, and deployment. You will pair deep motor electromechanics and system-identification skill with strong C++/Python engineering, working hand in hand with our Controls, Firmware, and Simulation teams so that both model fidelity and control performance are driven by how they are actually used on the robot.


ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

  • Develop and maintain high-fidelity actuator models in simulation, capturing the physical behaviors (friction, compliance, thermal, torque and current limits) that meaningfully affect real-world performance.
  • Design, tune, and deploy actuator-level control — closed-loop torque and current control and the low-level control that turns commands into reliable joint behavior on hardware.
  • Design and run hardware test campaigns to characterize actuator behavior and extract the parameters that keep both the models and the controllers accurate.
  • Apply system identification to extract trustworthy physical models from experimental data, and use those models to inform controller design and gain selection.
  • Quantitatively validate sim-to-real fidelity — for both the models and the controllers — using appropriate comparison metrics, and understand the limitations of each.
  • Build and maintain robust Python/C++ tooling for experiment automation, model extraction, controller tuning, and simulator integration.
  • Partner with the Controls team throughout — aligning on the fidelity and control performance actually needed, how model and controller choices ripple into training and policy performance, and where the actuator layer is the root cause of a sim-to-real gap.
  • Support hardware bring-up and deployment, translating validated models and controllers into real robot configuration.

SKILLS AND REQUIREMENTS

  • Strong C++, including comfort extending a simulator or physics-engine codebase — not just consuming one through a Python interface.
  • Deep grounding in motor electromechanics and classical control — closed-loop torque/current control, controller design and tuning, and frequency-domain analysis (e.g. Bode plots, stability margins).
  • Hands-on actuator or servo control on real hardware: designing, tuning, and validating low-level controllers, informed by system identification.
  • Hands-on system identification and modeling: structured experiment design and model fitting from real data that feeds both simulation and control.
  • Proficiency in Python (test automation, data analysis, tooling) and a track record shipping maintainable code under Git in a fast-moving R&D environment.
  • Comfortable working cross-functionally with controls engineers — focused on how your models and controllers get used, not just whether they fit the data.
  • Preferred: experience with dynamometers, motor test stands, and lab instrumentation; motor thermal modeling and gearbox efficiency / backlash characterization; real-time actuator communication protocols and embedded / firmware control; a modern robotics simulator (MuJoCo, Isaac Sim/Lab, Brax) and sim-to-real validation workflows; and Docker with GPU/cloud experiment infrastructure.

EDUCATION and/or EXPERIENCE

  • BS in Robotics, ME, EE, CS, or a related field + 4 years of relevant experience; MS in a related field + 2 years of relevant experience; or a PhD in a related field.
  • Prior humanoid or legged-robot experience is strongly preferred.

PHYSICAL REQUIREMENTS:

  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate


*This is a direct hire.  Please, no outside Agency solicitations. 

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

HQ

Apptronik Austin, Texas, USA Office

We're based in North Austin near The Domain, a lively, outdoor shopping area full of shops and restaurants.

Similar Jobs at Apptronik

11 Hours Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Safely tele-operate robots, set up environments, collect high-quality data, inspect and troubleshoot equipment, report safety concerns, follow procedures, and support Robot Park operations. Train and coach other operators, maintain documentation, improve operational processes, and travel occasionally to customer sites for tele-operation and training.
Top Skills: Robotics SystemsSteamvrTele-OperationUnityVr Systems
2 Days Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Develop and deploy machine learning systems for humanoid robot manipulation, covering data collection, annotation, synthetic data generation, model training, simulation, hardware deployment, and fine-tuning. Diagnose vision, calibration, sensor fusion, model, and data bottlenecks to improve reliability. Build real-time robotic software using modern computer vision and deep learning, while mentoring engineers and driving architectural excellence across the robotics organization.
Top Skills: 6D Pose EstimationC++Camera CalibrationCnnsComputer VisionDistributed TrainingDrakeIsaac SimMlopsMujocoPoint Cloud ProcessingPythonPyTorchTransformersVision-Language-Action ModelsVisual ServoingVr/Haptic Interfaces
4 Days Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Leads system-level architecture, integration, verification, and lifecycle development for a humanoid robot chassis. Responsibilities include defining requirements, integrating mechanical, electrical, power, thermal, wiring, and controls subsystems, conducting trade studies and testing, supporting prototype-to-production development, qualifying suppliers, and driving reliability, safety, manufacturability, diagnostics, and failure analysis.
Top Skills: Actuator IntegrationAdditive ManufacturingAIAutomated Test FrameworksDfaDfmDrivetrain SystemsElectromechanical SystemsEmiEnvironmental SealingFinite Element Analysis (Fea)Gd&TGearboxesIngress ProtectionModel-Based Systems Engineering (Mbse)Requirements ManagementRoboticsShock TestingStress And Fatigue AnalysisStructural Health MonitoringStructural MechanicsTelemetryThermal ManagementVibration TestingWiring Harnesses

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account