Lead Applied Scientist, Robotic Autonomy & Manipulation

Amazon

New York (NY)

On-site

USD 180,000 - 230,000

Full time

7 days ago
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Job summary

Fauna Robotics, an Amazon company, seeks a Lead Applied Scientist to drive the development of next-generation manipulation and autonomy systems for robots operating in complex, real-world environments. This role is designed for an exceptional technical leader with a strong research background and a passion for translating cutting-edge ideas into working robotic systems.

You will define the technical direction of the manipulation and autonomy stack, from problem formulation and algorithm design

Responsibilities

  • Lead research and development of manipulation and autonomy systems for robots, including planning, control, learning, and closed-loop execution
  • Design and implement algorithms, especially focused around autonomy and interaction with dynamic environments
  • Work closely with perception, motor control, hardware, and systems teams to build tightly integrated autonomy pipelines
  • Define evaluation methodologies, benchmarks, and simulation-to-real workflows for manipulation and autonomy
  • Stay deeply engaged with the research community, selectively incorporating state-of-the-art techniques into deployed systems
  • Mentor and guide other researchers and engineers, help set technical direction, and contribute to team growth and research culture
  • Lead technical projects from conception through production deployment
  • Bridge research initiatives with practical engineering implementation

Job description

Fauna Robotics, an Amazon company, seeks a Lead Applied Scientist to drive the development of next-generation manipulation and autonomy systems for robots operating in complex, real-world environments. This role is designed for an exceptional technical leader with a strong research background and a passion for translating cutting-edge ideas into working robotic systems.

You will define the technical direction of the manipulation and autonomy stack, from problem formulation and algorithm design

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