Director, AI/ML-Driven ASIC Design & Automation

NXP Semiconductors; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Learning opportunities

Job summary

NXP Semiconductors is seeking a Director for AI/ML driven ASIC Design and Implementation Automation in the ACE organization. Lead AI/ML CAD method development, prototype solutions, and cross-site execution to elevate power, performance, area, and quality of SoC/IP designs.

Engage with academia and industry to push state-of-the-art techniques and drive Digital Transformation across automotive processors and microcontrollers.

Qualifications

• BS or MS in Computer Science, Electrical Engineering, Computer Engineering or related disciplines with strong SW background.
• Hands-on programming experience in Python and C++.
• 7+ years of AI/ML experience (LLMs, CNN, RNN, GraphNN) applied to optimization problems.
• Data structures and algorithms for optimization; SW development experience.
• Unix/Linux proficiency and revision control (Git, Bitbucket).
• Strong analytical and written/verbal communication skills.

Responsibilities

• Explore AI/ML CAD techniques to improve VLSI design and automation.
• Develop prototype solutions to evaluate AI/ML methods for NXP designs.
• Collaborate with Architecture, IP/SoC design, verification and implementation teams across sites.
• Drive Digital Transformation initiatives and tool/flow improvements for ACE.
• Coordinate with academic and industry partners to advance state-of-the-art methods.

Skills

Python

C++

AI/ML techniques

Data structures & algorithms

Unix/Linux

Git/Bitbucket

Communication skills

Education

BS in CS/EE

MS preferred

Tools

GIT

DesignSync

Splunk

Jenkins

CI/CD tooling

Job description

NXP Semiconductors is seeking a Director for AI/ML driven ASIC Design and Implementation Automation in the ACE organization. Lead AI/ML CAD method development, prototype solutions, and cross-site execution to elevate power, performance, area, and quality of SoC/IP designs.

Engage with academia and industry to push state-of-the-art techniques and drive Digital Transformation across automotive processors and microcontrollers.