Safety-Critical Robotics Research Scientist

Amazon; Memphis (TN); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) plan with matching

Paid time off (PTO)

Job summary

Amazon is seeking a Research Scientist for the SAF Lab in Memphis, TN, to develop Control Barrier Function (CBF) theories for safety in robotics. The role involves working with next-gen robots to formulate algorithms ensuring safety while maximizing performance.

The ideal candidate will hold a PhD in a quantitative field and possess deep expertise in CBF, along with strong programming skills in C++ and Python. The position offers a competitive salary and benefits including stock options and healthcare.

Qualifications

• PhD in engineering, technology, computer science, or related field.
• Deep expertise in Control Barrier Functions and implementations.
• Experience with real-time safety filtering controllers.

Responsibilities

• Develop and implement novel CBF algorithms for dynamic robots.
• Frame safety filtering within complex layered architectures.
• Validate algorithms through simulation and hardware experiments.

Skills

Control Barrier Functions

C++

Python

Optimization-based controllers

Dynamical systems theory

Education

PhD in relevant fields

Tools

QP-based safety filters

High-level planning

Real-time embedded systems

Job description

Amazon is seeking a Research Scientist for the SAF Lab in Memphis, TN, to develop Control Barrier Function (CBF) theories for safety in robotics. The role involves working with next-gen robots to formulate algorithms ensuring safety while maximizing performance.

The ideal candidate will hold a PhD in a quantitative field and possess deep expertise in CBF, along with strong programming skills in C++ and Python. The position offers a competitive salary and benefits including stock options and healthcare.