Applied Scientist: Fleet Scheduling & Robotics

Amazon Science; North Reading (MA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k)

Paid time off

RSUs

Job summary

Amazon Robotics is seeking an Applied Scientist to research and develop state-of-the-art algorithms and software that manage fleets of robotic systems. You will apply the latest trends in research to solve real-world scheduling and optimization problems, collaborating with scientists and engineers building a new generation of autonomous mobile robots to power our fulfillment and transportation networks.

The role emphasizes prototyping, testing in simulation and on live robots, mentoring

Qualifications

• PhD or Master's degree in Engineering, Science, Technology, Computer Science, Mathematics or a related quantitative field (OR equivalent Masters Degree plus 4+ years experience in CS or related field)
• 1+ years of experience programming in Java, C++, Python or related language
• Relevant industry or academic applied research experience in developing optimization or scheduling algorithms for fleets of mobile robots.
• Experience building machine learning models or developing algorithms for business applications.
• Strong background in algorithms and hands-on experience developing algorithms for highly-scalable systems.

Responsibilities

• Architect, design, and implement robotic applications and infrastructure.
• Influence the team's strategy and contribute to long-term vision and roadmap.
• Work with stakeholders across the organization to iterate on design and implementation.
• Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.
• Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment
• Work directly with customers and partners to test prototypes and incorporate feedback
• Mentor other engineers on the team.

Skills

Java

C++

Python

Optimization algorithms

Scheduling algorithms

Scalable systems

Team collaboration

Education

PhD or Master's degree in Engineering/Science/Technology/CS/Math

Equivalent Masters Degree + 4+ years CS experience

Job description

Amazon Robotics is seeking an Applied Scientist to research and develop state-of-the-art algorithms and software that manage fleets of robotic systems. You will apply the latest trends in research to solve real-world scheduling and optimization problems, collaborating with scientists and engineers building a new generation of autonomous mobile robots to power our fulfillment and transportation networks.

The role emphasizes prototyping, testing in simulation and on live robots, mentoring