Staff Systems Engineer for PHysical AI

GlobalFoundries•Richardson, TX

13d

About The Position

As a Staff Systems Engineer in physical AI, develop physical AI software development kit and related demonstrations for robotics and support customer use cases in other machine learning inference applications.

Requirements

Studies in embedded systems or software, artificial intelligence, real-time computing or similar field
Familiarity with embedded systems like Raspberry Pi or BeagleBone
3 years of experience in one of the above fields
Bachelor’s or Master’s in Electrical Engineering, Computer Engineering or Computer Science or related field through an accredited degree program
English (Written & Verbal) Fluency

Nice To Haves

Ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.
Strong written and verbal communication skills
Strong planning & organizational skills
Robotics Frameworks : ROS2 (Robot Operating System) and associated tools like MoveIt and Drake.
Programming Python (for AI/ML) and C/C++ (for real-time systems).
AI/ML IREE, PyTorch or TensorFlow, Reinforcement Learning, and Computer Vision.
Systems Tools SysML, MATLAB/Simulink, and Docker for deployment.
Real-time motor control, RTOS, embedded systems

Responsibilities

Using industry standard tools to test and develop physical AI and robotics technology
Calibrating and integrating vision, touch sensors, and motor control to help the system perceive its environment.
Defining the "Source of Truth" for the project—mapping out how data flows to and from central compute, sensors and motors with a neural network controller.
Prototyping and conducting hardware-in-the-loop (HIL) testing using embedded computers to ensure behavior in the real world.
Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.