Physical Design Intern - Summer 2021
Responsibilities:
This design methodology engineer position is for Physical Design convergence signoff group. The responsibilities include:
- Physical Design methodology enhancements (assists with design evaluation/benchmarking)
- Identify & Define novel methods to improve quality and performance
- Invent & Design new algorithms, models and flows to enhance the QoR & productivity
- Block level Synthesis and PnR
- Automation of work flow and Metrics evaluation
Qualifications:
- Working towards MS or PhD degree in Computer and/or Electrical Engineering. Solid understanding of VLSI system & sub-micron CMOS circuits design
- Knowledge about industry standards and practices in Physical Design, including Physically aware synthesis and Place & Route
- Solid understanding of Machine Learning Algorithms and its applications in Physical Design
- Prior experience or publications in Machine Learning Algorithms is required
- Solid programming skills in Python, C, TCL etc., with ML packages, data visualization, analytics etc.,
- Familiar with standard industry EDA tools
- Experience/Exposure to software work-flow is preferable
- Self-motivated, team player with good communication skills
In order to be considered for an internship with NXP, you must be returning to school (or graduating) at the conclusion of the internship term. If you are graduating prior to June 2021, please apply for positions labeled “Graduate Hire” or “Entry Level”.