Senior Applied Scientist, Amazon Robotics - Vulcan Stow

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Senior Applied Scientist role focused on the motion stack for a robotic stowing system, involving real-time control, manipulation, motion planning, and safety. The role requires C++ and Python development, technical leadership, and collaboration across teams to deliver production-level robotic features at scale.

What you'd actually do

  1. Research, propose, architect, and deliver complex features such as unified contact-control frameworks, robot-arm integration roadmaps, functional-safety envelopes, and motion recovery architectures.
  2. Bring recent scientific advances in force control, compliant manipulation, and sim-to-real transfer into production.
  3. Lead significant architectural and strategic initiatives together with more junior teammates.
  4. Work across cross-disciplinary teams (hardware, safety, operations, vendor engineering) to deliver novel, synergistic features and capabilities.
  5. Own the technical bar on real-time control design decisions and serve as the senior technical interface to external robot-arm engineering teams.

Skills

Required

  • PhD or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • 5+ years of experience designing and deploying motion controllers for robotic manipulators in industrial, collaborative, or research settings
  • Hands-on experience with force- and torque-feedback control, admittance control, or compliant manipulation on physical hardware
  • Experience with real-time, high-rate control systems

Nice to have

  • Experience deploying and supporting complex robotic systems at scale
  • Sim-to-real deployment experience using physics simulators such as MuJoCo, Isaac Sim, or Gazebo
  • Experience applying high-performance motion planning and controls to third-party robot arms
  • Publications at relevant conferences such as IROS, ICRA, RSS, CoRL, ROMAN, CASE, Humanoids, or in journals such as T-RO, RA-L, IJRR on contact-based manipulation, motion planning, force control, or sim-to-real transfer

What the JD emphasized

  • production C++ and Python
  • real-time control design
  • functional-safety
  • motion recovery architectures
  • contact-rich behavior
  • live fulfillment centers
  • production data
  • real-time controllers