Electronic Circuitry Analysis Automation Intern
- Internship, onsite
- Keysight Technologies, Inc.
- Bayan Lepas, Malaysia
Salary undisclosed
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Overview:
Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities:
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities:
- Roqtools is a Keysight proprietary, SPICE (Simulation Program with Integrated Circuit Emphasis) based integrated toolset to simulate electronics circuitry’s power-up and quiescent settling of the analog circuitry on printed circuit boards. The design simulation software is critical to filter out electronic components’ power/voltage/current overstressed issue and tackle floating/wrong nets connection design faults issue.
- The project is about automating our Roqtools analysis work, with AI/ML applications and coding. The Roqtools analysis process involves comprehensive steps of PCA electronic circuitry design review, validation and test by comparing to Keysight Design-for-Reliability guidelines and electrical design rules. We are targeting AI/ML to take over some repetitive steps and to be able to automatically detect certain forms of anomaly or defect.
- Bachelor’s or higher degree candidate in Computer Science or a related technical field.
- Proficiency in Python programming, debugging, and build tools.
- Strong interest in Machine Learning / Artificial Intelligent algorithms.
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