Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.

At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.

Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.

Key job responsibilities
Design and deploy end-to-end teleoperation pipelines integrating VR/AR headsets and haptics interfaces with robotic hardware

Implement force-feedback and tactile sensing algorithms to provide operators with a "sense of touch," improving performance in contact-rich manipulation tasks

Collaborate with ML teams to ensure teleoperation interfaces capture high-fidelity state-action pairs, including proprioception, visual, and force/torque data for model training

Develop custom networking and streaming protocols to minimize operator-to-robot latency.

Conduct user studies to evaluate ergonomics, cognitive load, and "telepresence" effectiveness to iterate on UI/UX designs.

Basic Qualifications

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Strong track record of research in bilateral teleoperation, haptic rendering, or spatial computing.
- Experience with haptics hardware (e.g., Force Dimension, HaptX, or custom wearable actuators).
- Deep experience with Unity 3D or Unreal Engine 5 for VR/AR development

Preferred Qualifications

- PhD in Robotics, with a focus on teleoperation and VR/AR
- Knowledge of Control Theory (Admittance/Impedance control, Time-delay compensation)
- Understanding of 3D Computer Vision (SLAM, Hand-tracking, Point cloud processing)
- Experience programming in C, C++, Python or related language
- Excellent collaboration and communication skills, with ability to work across multidisciplinary teams

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MA, N.Reading - 142,800.00 - 193,200.00 USD annually