Amazon Applied Scientist - Motion Planning Controls 

United States, Massachusetts 

114484313

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.
A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 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.

- 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