Applied Scientist - Fleet Scheduling and Optimization, Amazon Robotics, Autonomous Mobility
Core
Research and develop state-of-the-art algorithms and software to manage fleets of robotic systems, focusing on scheduling and optimization to improve task completion.
Role type
Applied Scientist (Fleet Scheduling and Optimization)
Builds
Autonomous mobile robots for Amazon fulfillment and transportation networks
Domain
Robotics, Operations Research, Optimization
Deliverable
production ML models | product features
Required skills
optimization algorithms, scheduling algorithms, machine learning, scalable system algorithms, Java/C++/Python programming
Preferred skills
operations research, scientific mindset, mentoring, technical presentation
Technologies
Java, C++, Python
Responsibilities
Architect and implement robotic applications and infrastructure, prototype and test concepts via simulation and live equipment, mentor engineers, influence team strategy and roadmap
Seniority
Senior, hands-on IC