Applied Science Manager, Safe Autonomy, Saf Lab

Amazon Amazon · Big Tech · Pasadena, CA · Applied Science

Manager for a team developing a universal safety layer for robotic systems, focusing on safe autonomy for dynamic robots. The role involves leading research, strategy, and ensuring innovations translate into production systems at Amazon scale, integrating control barrier functions with planning, perception, and learning. The team publishes research and collaborates with academic and industry partners.

What you'd actually do

  1. Manage a team of scientists and engineers developing a universal safety layer for robotic systems, with a focus on the next generation of robots
  2. Work with leadership to design and execute multi-year research roadmaps for the development of safe autonomy that spans all types of current and emerging robotic platforms
  3. Lead Scientists, Engineers, post-docs and interns to realize research and development goals and provide evidence of these results in a variety of formats
  4. Drive integration of control barrier functions with planning, perception and learning while maintaining guarantees of safe high-performance robot behavior
  5. Collaborate with product teams and science leaders to set a science roadmap (with eventual impact on real robots)

Skills

Required

  • PhD in Engineering, Technology, Science, Operations Research, Robotics, Mathematics or related fields
  • Experience in demonstrating research to complex hardware platforms or product development in robotics, autonomous systems, or related fields
  • Experience managing, developing and leading teams
  • Track record of research that has the potential to translate to production systems
  • Track record of publications in top-tier conferences in robotics and control (RSS, ICRA,IROS, CoRL, NeurIPS, ICML, TRO, CDC, ACC, RAL, CSL) or patents in robotics and autonomy
  • Deep expertise and technical understanding of robotics concepts for sensing, perception, planning, and control.
  • Deep understanding of the formal foundations and experimental deployment of control barrier functions and safety filters on highly dynamic robots of different morphologies
  • Strong cross-functional collaboration skills and comfort working at the boundary between research and commercial robotics
  • Experience coordinating teams and stakeholders across geographies
  • Experience deploying software on diverse robot embodiments

Nice to have

  • Experience with perception and learning as it integrates into robotic systems.
  • Experience with optimization and control in robotics.
  • Familiarity with robotics simulation environments (e.g., Isaac Sim, MuJoCo, Drake, OMPL)

What the JD emphasized

  • Track record of research that has the potential to translate to production systems
  • Track record of publications in top-tier conferences in robotics and control (RSS, ICRA,IROS, CoRL, NeurIPS, ICML, TRO, CDC, ACC, RAL, CSL) or patents in robotics and autonomy
  • Deep understanding of the formal foundations and experimental deployment of control barrier functions and safety filters on highly dynamic robots of different morphologies

Other signals

  • leading a team
  • research strategy
  • production systems
  • academic research
  • real-world deployable safety layers
  • control barrier functions
  • planning, perception and learning
  • robot behavior
  • product teams
  • science roadmap
  • robots at Amazon's scale
  • top-tier conferences
  • robotics community
  • academic and industry partners
  • forefront of safe autonomy
  • next generation of robotic systems
  • dynamic stability
  • performant safety
  • highly dynamic robots
  • CBF theory
  • perception and learning
  • next-generation robots
  • robots operating alongside people
  • Amazon's unprecedented scale