Our is developing next-generation manipulation capabilities for highly dexterous multi-fingered grippers and hands. Our work spans tactile sensor development, manipulation policy learning, and the tight integration of sensing hardware with intelligent control software. We are building systems that can feel, adapt, and manipulate with human-level dexterity.
You will join a team working at the frontier of tactile sensing and contact-rich manipulation, helping define how robots perceive and interact with objects through touch. Because we build the hands as well as the policies that drive them, you will have a direct line to the sensor, actuator, and mechanism designs your algorithms depend on — and real influence over how they evolve. This is an opportunity to solve hard problems across perception, learning, and physical interaction alongside a team of scientists and engineers building toward real-world deployment.
- Experience programming in Java, C++, Python or related language
- Research or applied experience in one or more of: tactile sensing, manipulation policy learning, contact-rich manipulation, dexterous grasping, or multi-modal perception for robotics
- Experience deploying learned policies or control algorithms on physical robotic hardware
- Experience leading technical initiatives and key deliverables
- Experience bridging research with practical engineering implementation in physical robotic systems
- Hands-on experience with modern tactile sensing hardware and tactile signal processing
- Strong publication record at major robotics/ML venues (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR), including impactful first-author work in tactile sensing or dexterous manipulation
- Experience developing manipulation policies using reinforcement learning, imitation learning, or foundation models for contact-rich tasks
- Demonstrated experience with sim-to-real transfer for tactile-enabled manipulation
- Familiarity with both learned and classical approaches to contact dynamics, including impedance and admittance control
- Experience with force and torque control, and with proprioceptive force estimation on torque- or current-controlled actuators
- Experience with robotics simulation stacks (e.g., Isaac, MuJoCo) and robot modeling (URDF)
- Experience with teleoperation and demonstration-collection pipelines for dexterous hands
- Familiarity with multi-finger or multi-contact gripper platforms
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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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, CA, Sunnyvale – 171,600.00 - 222,200.00 USD annually