About this opportunity
Amazon lists this Principal Applied Scientist, Contact-Rich Manipulation, AR Manipulation HW & Systems opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Principal Applied Scientist, Contact-Rich Manipulation, AR Manipulation HW & Systems
Job ID: | Amazon.com Services LLC
How should a robot dig a single item out of a cluttered bin, feel when it has made contact, and adjust in real time without crushing what it touches? Single- and dual-armcontact-rich manipulation at production scale is still being solved. We are looking for a Principal Applied Scientist to define the control architectures that our next-generation grasping systems will be built on. The Manipulation Robotics team develops robotic workcells to pick, grasp, and move millions of items and packages across Amazon's fulfillment network. Reaching into clutter and grasping deformable and diverse items depends on solving contact: force-aware control, compliant behaviors, and the layering of classical controllers and learned policies. You will set the technical direction for how the team approaches contact-rich manipulation, working with leaders across the organization to establish this foundational capability.
Key job responsibilities
Own the technical direction and contact-control strategy for contact-rich manipulation, including the boundary between low-level control and learned policy, balancing tradeoffs among speed, performance, quality, cost, complexity, and adaptability.
Identify the open scientific problems that gate contact-rich manipulation at production scale, and invent the methods that solve them.
Architect contact control built on force and tactile sensing, covering compliant-contact behaviors, hybrid position and force control, and the safe interaction envelope. Stay hands‑on and personally write critical-path code.
Partner with scientists, hardware designers, and systems engineers to treat the platform, arm, and end‑effector as one coherent hierarchical system, including co‑designing compliant end‑effectors as part of the control strategy.
Create mechanisms to learn from fielded production, reasoning rigorously about failure modes and improving recovery from unexpected contact.
Drive how simulation, analytical models, demonstrations, and real‑robot data are used together to turn lab results into scaled warehouse performance.
Establish the reference implementations, evaluation standards, and design review practices that let others build on the architecture and scale your impact without your continuous involvement.
Develop other scientists and engineers through mentorship, technical review, and a leading role in hiring.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full‑time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
We are a small, high‑ownership team building robotic workcells, from early‑stage R&D through products fielded 24/7 in Amazon fulfillment centers. We work at the hard edge of grasping: contact‑rich tasks, deformable and variable items, and mechanisms that must survive millions of cycles at fleet scale. Our people own problems end to end, and scientists work shoulder to shoulder with mechanical, electrical, software, and controls engineers in a fast‑moving, highly empowered environment where research ideas turn into shipped systems.
Basic Qualifications
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related technical field, or an equivalent body of published or deployed work in place of the PhD
Experience programming in Python and C++ (or a related language), including production-quality code deployed on real robotic hardware.
Demonstrated expertise in force, impedance, or admittance control for contact‑rich manipulation.
Experience integrating learned policies with low‑level force or impedance controllers, including the choice of action representation for contact‑rich tasks.
Track record of setting the technical direction adopted by your organization, company, or research community.
Preferred Qualifications
10+ years of industry or academic research experience
Hands‑on experience training manipulation policies with reinforcement or imitation learning, and sim‑to‑real transfer of those policies onto real robotic hardware for contact‑rich tasks.
Experience using tactile sensing for closed‑loop contact control on real robotic hardware.
Experience developing systems that require whole‑body or bimanual coordination.
Experience deploying robotics in live industrial automation or high‑throughput logistics environments.
Recognized technical leadership in manipulation, shown through successfully deployed systems, influential publications, open‑source communities, or patents.
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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, MA, North Reading - 198,900.00 - 269,000.00 USD annually
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.