Amazon.com Services LLC

Applied Science, subsidiaries

AppliedScientist,AmazonRobotics-Vulcan

$80–193k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Applied Scientist, Amazon Robotics - Vulcan at Amazon.com Services LLC. Skills: Robotics, Motion planning, Control theory, Machine learning. Design control strategies. Implement control strategies”

What You'll Achieve.

Improve system performance

Industry & Context.

Applied Science, subsidiaries
Problems you'll solve

Identify failure modes; Drive systematic improvements

What They're Looking For.

Must Have

Master's degree and 4+ years experience, PhD degree, Programming in Java, C++, Python, Robotics work cells experience, Control systems experience, Motion planning background, Control theory background, Learning-based manipulation background

Nice to Have

Deploying complex robotic systems, Supporting complex robotic systems, Reinforcement learning familiarity, Behavior cloning familiarity, Sim-to-real transfer familiarity, Contact-rich manipulation experience, Force/torque control experience, Constrained motion planning experience, Publications in top venues

What You'll Do.

Design control strategies

Implement control strategies

Deploy control strategies

Design manipulation behaviors

Implement manipulation behaviors

Deploy manipulation behaviors

Design affordance generation

Implement affordance generation

Deploy affordance generation

Validate work through simulation

Validate work through testing

Improve system performance

Design motion planning algorithms

Implement motion planning algorithms

Deploy motion planning algorithms

Design control algorithms

Implement control algorithms

Deploy control algorithms

Design manipulation algorithms

Implement manipulation algorithms

Deploy manipulation algorithms

Create intelligent systems

Create integrated solutions

Contribute to learned behaviors

Contribute to learned controllers

Deploy learned behaviors

Deploy learned controllers

Write production-quality code

Own scalable implementations

Own real-time implementations

Validate algorithms on hardware

Iterate between simulation

Iterate through testing

Ensure robust performance

Analyze experimental results

Identify failure modes

Drive systematic improvements

Champion Amazon in academia

Present scientific findings

How You'll Work.

Team & Collaboration

Partner with experts; Cross-discipline experts

Communication Scope

Scientific presentations

Full Job Description

Our team in Amazon Robotics builds robotic systems that perform contact-rich manipulation tasks safely and reliably in complex, unstructured environments — at Amazon scale. Our scientists and engineers push the boundaries of robotic manipulation to handle enormous object diversity, bringing deep expertise across planning, control, perception, and machine learning. We learn from real-world data at a scale that few teams in robotics can access. We are seeking an Applied Scientist to join our Motion Behaviors team. You will design, implement, and deploy control strategies, manipulation behaviors, and affordance generation methods for contact-rich tasks on robots operating in Amazon fulfillment centers — spanning both engineered and learned approaches. You will validate your work through simulation and real-world testing, leveraging rich operational data to systematically improve system performance. Key job responsibilities • Design, implement, and deploy motion planning, control, and manipulation algorithms on production robotic systems. • Partner with experts across disciplines including perception, hardware and software to create intelligent, integrated systems and solutions. • Contribute to the development of learned manipulation behaviors and controllers, including sim-to-real deployment. • Write production-quality code and own scalable, real-time implementations. • Validate algorithms on hardware, iterating between simulation and real-world testing to ensure robust performance. • Analyze experimental results, identify failure modes, and drive systematic improvements to system performance. • Champion Amazon in academia through publications and scientific presentations. A day in the life Amazon offers a full range of benefits for 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

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