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Salary
≈ $71k – $154k per year (Estimated)
Location
Hybrid (Troy, United States)

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Sep 30, 2026.

Overview
Company
Impact
Profile match
Schaeffler Group is a leading global automotive and industrial supplier headquartered in Herzogenaurach, Germany. The company specializes in high-precision components, powertrain systems, and rolling bearing solutions for automotive and industrial applications. Through its focus on e-mobility, renewable energy, and digital services, it delivers innovative technologies that shape sustainable motion and transportation worldwide.

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.

Your Key Responsibilities

About the Role

We are seeking a motivated Computer Engineering graduate to join our humanoid robotics team. In this role you will contribute to the design, implementation, and validation of advanced actuator control software and features for humanoid robots, while also supporting the creation and maintenance of high-fidelity digital twins used in reinforcement learning pipelines. This is an excellent opportunity for a recent graduate to work at the intersection of embedded controls, robotics, and simulation-driven AI.

Key Responsibilities

  • Develop, implement, and refine real-time control algorithms and features for humanoid robot actuators (position, torque, impedance, and hybrid modes).
  • Write clean, efficient, and well-documented embedded and high-level software for actuator control loops, state estimation, and safety monitoring.
  • Collaborate with mechanical, electrical, and systems engineers to integrate new actuator capabilities into the overall humanoid platform.
  • Support the development and validation of digital twins of actuators, including accurate modeling of dynamics, friction, compliance, thermal effects, and sensor characteristics.
  • Assist in integrating actuator digital twins into reinforcement learning environments for policy training, sim-to-real transfer, and control co-design.
  • Perform system identification, parameter estimation, and correlation between physical actuators and their digital counterparts.
  • Conduct testing, debugging, and performance analysis on both hardware and simulation platforms.
  • Document designs, algorithms, test results, and lessons learned; participate in design reviews and code reviews.
  • Stay current with relevant advances in robot control, simulation, and reinforcement learning techniques applicable to humanoid systems.

Your Qualifications

Required Qualifications

  • Bachelor’s degree in Software Engineering, Computer Engineering, Electrical Engineering, Robotics, Mechatronics, or a closely related field (graduating or recently graduated).
  • 0-2 years experince with control systems, embedded software, and real-time systems. (Professional or Academic Exp.)
  • Proficiency in C/C++ and Python.
  • Familiarity with robotics concepts (kinematics, dynamics, actuators, sensors) through coursework, senior design, or personal projects.
  • Experience with simulation tools or environments (e.g., Gazebo, MuJoCo, Isaac Sim, MATLAB/Simulink, or equivalent).
  • Solid understanding of software development practices (version control with Git, debugging, testing).
  • Ability to work collaboratively in a multidisciplinary team and communicate technical ideas clearly.
  • Must be legally authorized to work in the US.

Preferred Qualifications

  • Previous co-op or internship experience in robotics, actuator controls, simulation, digital twins, reinforcement learning, or a closely related field.
  • Coursework or project experience involving motor control, FOC, impedance control, or state estimation (Kalman filters, observers).
  • Exposure to reinforcement learning frameworks (e.g., Stable Baselines, RLlib, or custom PyTorch/TensorFlow pipelines) and sim-to-real techniques.
  • Experience with ROS/ROS 2, real-time operating systems, or industrial communication protocols (EtherCAT, EtherNet, etc.).
  • Familiarity with digital twin concepts, system identification, or physics-based modeling of electromechanical systems.
  • Hands-on experience with microcontrollers, motor drivers, or robot hardware through labs, internships, or personal projects.
  • Strong mathematical background (linear algebra, differential equations, optimization).

Our Offering

  • Medical, dental and vision insurance
  • Life insurance and 401k eligible with up to 6% company match
  • Regular employee appreciation and company events
  • Please see all our benefit offerings at Schaeffler Benefits

As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.

Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.

https://www.schaeffler.us/careers/

Your contact

Schaeffler Humanoids USA, LLC

Kenneth R Cummings

Schaeffler is an equal employment opportunity / affirmative action employer. All qualified candidates will receive equal employment opportunities and consideration for employment without regard to unlawful consideration of race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, protected veteran status, or any other status protected by applicable law.

Keywords: Digitalization & Information Technology;

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