Software Systems Engineer
Globalfoundries U.S. Inc.
Austin, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 125KJob location
Austin, United States of America
Tech stack
Artificial Intelligence
Artificial Neural Networks
Computer Vision
C++
Computer Engineering
Hardware-In-The-Loop Simulation
Python
Matlab
Raspberry Pi
Real-Time Operating Systems
TensorFlow
Sensor Fusion
Software Requirements Analysis
Software Systems
Data Streaming
Systems Modeling Language
Reinforcement Learning
Robot Operating System
Real Time Systems
PyTorch
Information Technology
Docker
Job description
- 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.
Requirements
Do you have experience in Embedded systems?, Do you have a Master's degree?, * Studies in embedded systems or software, artificial intelligence, real-time computing or similar field
- Familiarity with embedded systems like Raspberry Pi or BeagleBone
- 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, * 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
About the company
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., G lobal F oundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks , medical screenings as applicable and subject to the respective local laws and regulations., 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.