ABB→
Robotics Research Intern - Summer 2026 at ABB in USA, MI, Auburn Hills
InternshipHybridUSA, MI, Auburn Hills$42k–$71k/yr
Skills
physics configuration in virtual environmentssensor configuration camerasensor configuration lidarsensor configuration tofdomain randomizationsynthetic data generationsim-to-real gap addressingrobot kinematicsrobot dynamicsreinforcement learning algorithms pporeinforcement learning algorithms grporeinforcement learning algorithms sacreinforcement learning algorithms td3vision language action modelsworld foundation modelsskrl libraryrsl-rl librarysb3 librarynvidia isaac labisaac simpythonopencvopen3ddeep learning frameworks pytorchdeep learning frameworks tensorflowdeep learning frameworks jaxtask organizationprioritizationmultitasking
Job Description
Summary: ABB is a global market leader in robotics, and they are seeking a Robotics Research Intern for Summer 2026. The intern will gain practical experience by conducting literature surveys, developing algorithms, and supporting ABB's operations while contributing to innovative robotics projects.
Responsibilities:
- Conduct literature survey and benchmarking to assess the state of art methods for a given problem
- Take part in the development of computer algorithms in perception, planning and control to enable creation of future autonomous robotics
- Debug, test and validate core algorithms in a mockup or full-blown setup
- Generate intellectual property and writing scientific publications
- Excellent skills in supporting technological change by fast learning
- Demonstrate use of creativity and innovation in creating new technology and solutions
- Living ABB’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues, and the business
Required Qualifications:
- Currently enrolled in a graduate program (MS/PhD) in Computer Science or Electrical Engineering, or a related field in the United States
- Experience in configuring physics, sensors (camera, LiDAR, ToF), and domain randomization in virtual environment
- Demonstrated experience in synthetic data generation and addressing the sim-to-real gap
- Understanding of robot kinematics and dynamics
- Strong background in reinforcement learning algorithms (PPO, GRPO, SAC, TD3, etc.), vision language action models, and world foundation models
- Strong expertise in using SKRL, RSL-RL, or SB3 libraries
- Proficiency in Python, OpenCV, Open3D, and deep learning frameworks (Pytorch, Tensorflow, JAX)
- Demonstrated research contributions in top-tier conferences and journals
- Intern must have reliable transportation to and from the worksite
- Must be legally authorized to work in the United States without company sponsorship now and in the future
- Utilize critical thinking skills to analyze complex situations and develop strategic solutions
- Effectively organize and prioritize tasks to meet deadlines
- Exhibit the capability to manage several tasks at once while maintaining high standards of quality
- Collaborate with team members to convey ideas, share information, and provide updates on project progress
Preferred Qualifications:
- Experience with Nvidia Isaac Lab and Isaac Sim is a plus
Required Skills: Physics configuration in virtual environments, Sensor configuration camera, Sensor configuration LiDAR, Sensor configuration ToF, Domain randomization, Synthetic data generation, Sim-to-real gap addressing, Robot kinematics, Robot dynamics, Reinforcement learning algorithms PPO, Reinforcement learning algorithms GRPO, Reinforcement learning algorithms SAC, Reinforcement learning algorithms TD3, Vision language action models, World foundation models, SKRL library, RSL-RL library, SB3 library, Nvidia Isaac Lab, Isaac Sim, Python, OpenCV, Open3D, Deep learning frameworks Pytorch, Deep learning frameworks Tensorflow, Deep learning frameworks JAX, Task organization, prioritization, Multitasking
Internship Start Date: Start in 2026 Summer