Staff Systems Engineer for PHysical AI
GlobalFoundries
- Location
- Onsite (Richardson, TX,US · Austin, TX,US)
- Compensation
- $106k - $184k/yr
- Employment
- Full-time
- Level
- Mid Level
About the Role
GlobalFoundries is a leading semiconductor foundry providing design, development, and fabrication services. This role involves developing physical AI software development kits and demonstrations for robotics and machine learning inference applications.
Skills
Full job details
About GlobalFoundries:
GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
Summary of Role:
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.
Essential Responsibilities:
- Integrated Design & Simulation: Using industry standard tools to test and develop physical AI and robotics technology
- Sensor Fusion & Perception: Calibrating and integrating vision, touch sensors, and motor control to help the system perceive its environment.
- System Requirements & Architecture: 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.
- Testing & Validation: Prototyping and conducting hardware-in-the-loop (HIL) testing using embedded computers to ensure behavior in the real world.
Other Responsibilities:
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Required Qualifications:
- 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
- Education –Bachelor’s or Master’s in Electrical Engineering, Computer Engineering or Computer Science or related field through an accredited degree program
- Language Fluency - English (Written & Verbal)
- Travel - Up to 10% of the time
Preferred Qualifications:
- 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
Expected Salary Range
$106,000.00 - $184,000.00The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at [email protected] and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law
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