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Verification Design Automation Engineer

Company:
Semiconductor
Location:
San Diego, California, United States
Posted:
February 14, 2018
Description:

Verification Design Automation Engineers are responsible for developing, implementing, and deploying automated methodologies and tool flows that are used to validate a multitude of wireless chips and IP cores/blocks.

*As part of the Mobile and Computing engineering team, this position plays a critical role in driving next-generation verification methodologies through the deployment of semi- and full-custom EDA tools that are used widely across the globe by the various ASIC digital design teams.

*As a key member of the EDA CAD verification design automation team, will develop and contribute directly to technical aspects of many advanced verification methodologies and initiatives. Key areas of focus involve emulation, hardware software co-emulation, simulation acceleration, and UVM methodology. Work closely with cross-functional teams by leveraging domain-specific expertise and sharing/coordinating prototyping efforts, testing, and support. Responsible for developing, implementing, and deploying advanced verification methodologies and flow automations across all chips and IP cores/blocks, as well as across simulation acceleration, emulation, and post silicon validation.

Minimum Qualifications:

• Experience evaluating, designing, and deploying EDA tools in the area of functional verification, simulation acceleration and emulation.

• Strong programming capabilities in C/C++, Python, Perl, Tcl, and Java.

• Strong Object Oriented programming skills.

• Experience and strong knowledge in HVL methodology (UVM), formal verification, testbench automation and regression mechanisms.

• Solid understanding of web & cloud technologies.

Preferred Qualifications:

• Experience in cloud technologies like AWS Experience in Batch scheduler technologies like LSF Experience In python programming a plus

Education:

Required: Bachelors of Science degree in Computer Engineering, Computer Science, or Electrical Engineering.

Preferred: Masters of Science degree in Computer Engineering, Computer Science, or Electrical Engineering