Senior Manager, Applied Science- Manipulation & Autonomy , Fauna

Description

We are seeking 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.

We are seeking 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 play a central role in defining the technical direction of our manipulation and autonomy stack, from problem formulation and algorithm design to system integration and real‑world deployment.

While this role is hands‑on and deeply technical, it is also expected to evolve toward technical leadership and team building over time.

• 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

Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real‑world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.

• PhD, or Master's degree and 6+ years of applied research experience
• 5+ years of industry or academic research experience
• Experience in Java, C++, Python, or a related language
• Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
• Experience with simulation environments for robot learning (Isaac Gym/Lab, Mu Jo Co , or similar)
• Experience with sim‑to‑real transfer for robotic systems
• Demonstrated track record of leading technical projects
• Experience mentoring junior scientists/engineers.

• Experience participating in or leading technical collaborations and creating alignment across diverse groups (e.g., hardware engineering, software engineering, program management)
• Experience working with PyTorch or JAX software, or experience programming with at least one software programming language
• History of impactful first‑author publications at major conferences
• Experience with large‑scale…