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Description

Do you want to create worldwide impact in robotics while solving challenges at the edge of robotics research? Our team in Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans - at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.

We are seeking an experienced Senior Applied Scientist to join our Motion Planning and Control team. In this role, you will leverage your experience and insights gained from delivering systems to help lead us in developing products that are both innovative and scalable. Collaborating with a world-class team of experts in motion planning, control theory, computer vision, machine learning, and robotic hardware design, you will apply the latest research trends to tackle complex real-world challenges. Together, we aim to achieve high-impact algorithmic advancements in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments - each of which carries significant value for our current and future fulfillment networks.

Key job responsibilities

• Research, design, implement and evaluate complex motion planning, controls, and decision making algorithms integrating across multiple disciplines.

• Create experiments and prototype implementations of control algorithms, planners, and optimization techniques.

• Work closely with software engineering team members to drive scalable, real-time implementations.

• Collaborate with machine learning, perception and software experts to implement and deploy algorithms, such as motion planning and controls algorithms.

• Collaborate closely with hardware engineering team members on developing systems from prototyping to production level.

• Represent Amazon in academia community through publications and scientific presentations.

• Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

• PhD, or Master's degree and 4+ years of applied research experience

• Experience programming in Java, C++, Python or related language

• 5+ years of relevant broad industry or academic applied research experience post PhD in developing algorithms for robotic motion planning, perception, control, and decision-making.

Preferred Qualifications

• 7+ years of applied research experience post PhD and extensive algorithm development experience for robotic motion planning, perception, control, and decision-making.

• Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.

• Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, simulation, high-performance scientific computing, or building infrastructure for engineering/science users.

• Expertise building and testing real-time systems.

• Experience supporting large-scale infrastructure and tool development for scientific/engineering users.

• Demonstrated experience incubating and productionizing new technology from idea generation through implementation.

• Experience in professional software development.

• Publications at top-tier peer-reviewed conferences or journals.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.