DESCRIPTION

At Amazon Robotics, we design advanced robotic systems capable of intelligent perception, learning, and action alongside humans, all on a large scale. Our goal is to develop robots that increase productivity and efficiency at the Amazon fulfillment centers while ensuring the safety of workers.

We are seeking an Applied Scientist to develop innovative and scalable solutions in motion planning and feedback controls for complex robotic systems. In this role, you will take responsibility for developing robot physics models, performing analysis, and devising and implementing algorithms for the control and estimation of robotic systems. You will collaborate with a world-class team of experts in perception, machine learning, motion planning, and feedback controls to innovate and develop solutions for complex real-world problems.

As part of your work, you will investigate applicable academic and industry research to develop, implement, and test solutions that support product features. You will also design and validate production designs. To succeed in this role, you should demonstrate a strong working knowledge of physical systems, a desire to learn from new challenges, and the problem-solving and communication skills to work within a highly interactive and experienced team. Candidates must show a hands-on passion for their work and the ability to communicate their ideas and concepts both verbally and visually.

Key job responsibilities
– Conduct research, design, implement, and assess feedback control and motion planning algorithms, ensuring integration across various disciplines.
– Develop experiments and build prototypes to implement control algorithms, planners, and optimization techniques.
– Collaborate closely with software engineering teams to ensure scalable, real-time implementation of algorithms.
– Partner with cross-functional engineering teams to deploy algorithms from initial prototyping to production-level implementation.
– Engage with stakeholders across hardware, scientific, and operational teams to iterate on system design and implementation.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. 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

If you are not sure that every qualification on the list above describes you exactly, we’d still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

BASIC QUALIFICATIONS

– PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
– 1+ years of building machine learning models or developing algorithms for business application experience
– Experience programming in Java, C++, Python or related language
– Experience in patents or publications at top-tier peer-reviewed conferences or journals
– 1+ years of industry or academic research experience in applied research and development in robotics, with a focus on motion planning and feedback controls.

PREFERRED QUALIFICATIONS

– Proven ability to innovate and develop robust and scalable solutions to complex robotics problems.
– Deep understanding of the first principles to guide electro-mechanical system modeling
– Experience in designing controllers using Model Predictive Control, Optimal Control, etc
– Deep understanding of state estimation methodologies using classical observers, Kalman Filter, etc
– Experience in modeling for simulation as well as characterization and validation of physical systems

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

USA, MA, North Reading