Principal Applied Scientist, Contact-Rich Manipulation, AR Manipulation HW & Systems

Amazon; North Reading (MA); On-site; USD 199,000 - 269,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

Amazon's Manipulation Robotics team seeks a Principal Applied Scientist to define control architectures for next-generation grasping systems in cluttered environments. You will own the technical direction for force- and impedance-based manipulation across production-scale tasks, collaborating with scientists, hardware, and systems engineers to deliver scalable, robust solutions.

You will mentor engineers, publish and review technical work, and ensure a cohesive platform design that couples

Qualifications

• PhD or equivalent body of published work in robotics, ML, CS, EE, ME, or related field.
• Experience writing production-quality Python and C++ code for real robotic hardware.
• Hands-on expertise in force, impedance or admittance control for contact-rich manipulation.
• Experience integrating learned policies with low-level controllers for contact-rich tasks.

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 open scientific problems that gate contact-rich manipulation at production scale, and invent methods to 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; write critical-path code.
• Partner with scientists, hardware designers, and systems engineers to treat platform, arm, and end-effector as a single hierarchical system, co-designing compliant end-effectors.
• Create mechanisms to learn from fielded production and reason about failure modes to improve recovery from unexpected contact.
• Drive how simulation, analytical models, demonstrations, and real-robot data are used to scale warehouse performance from lab results.
• Establish reference implementations, evaluation standards, and design-review practices enabling others to extend the architecture.
• Develop other scientists and engineers through mentorship, technical review, and leadership in hiring.

Skills

Python

C++

Force control

Impedance control

Technical leadership

Education

PhD in Robotics or related field

Job description

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 hand-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

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, North Reading - 198,900.00 - 269,000.00 USD annually