AI/ML driven ASIC Design and Implementation Automation Engineer

Posted Yesterday
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San Diego, CA, USA
In-Office
125K-172K Annually
Senior level
Automotive • Internet of Things • Mobile • Semiconductor • Industrial
The Role
Develop and evaluate AI/ML-driven automation for ASIC and VLSI design and implementation. Explore GenAI, reinforcement learning, graph neural networks, and convolutional networks to optimize power, performance, area, and quality. Build prototypes, pilot automation on real SoC and IP designs, and collaborate with architecture, design, verification, implementation, academic, and industry teams. Contribute to CAD methodologies, tools, and digital transformation initiatives for advanced automotive processors and microcontrollers.
Summary Generated by Built In

As an AI/ML driven ASIC Design and Implementation Automation Engineer in our Advanced Chip Engineering (ACE) organization, you will work in a dynamic environment to explore methodology, flows and tools to improve efficiency and quality of results (power, performance, area, and quality) for SoC and IP development teams across the organization. You'll be working and connecting with AI/ML and automation experts in the industry as well as academia to explore state-of-the-art AI/ML CAD techniques as a part of VLSI CAD SW, prescribe key methods and requirements for tools & features to leverage for ASIC design.

In this role, you will develop prototype solutions to evaluate various state-of-the-art AI/ML techniques to identify the best solutions for NXP designs. While exploring these new ways of working, successful candidates will be working on actual designs and implementation to pilot and develop the automation.

This opportunity is within ACE 'Design Methodologies and Automation' organization to enable transformation to leverage state-of-the-art AI/ML ideas to improve NXP designs for the Automotive Processors and Advanced microcontrollers in NXP.
The right candidate will be working in a fast-paced engineering environment, on a leading-edge advanced node technologies enabling automated building of exciting and complex SoCs.

Job Summary:

  • Explore research ideas and solutions that bring AI/ML applications to VLSI design

  • Work closely with Academic research communities in AI/ML for VLSI design, Architecture teams, IP and SoC designers and SoC Implementation teams from multiple sites to explore and evaluate for leading edge SoC technologies serving multiple industries

  • These automation applications include use of GenAI, Reinforcement Learning, Graph Neural Networks, and convolutional Networks

  • Strong AI/ML expertise, software and CAD background required

Cross functional aspects:

  • In this role, the candidate will work with multiple NXP Engineering teams, including Architecture, IP & SoC design, verification and implementation functions, coordinate and drive groundbreaking initiatives for Digital Transformation.

Qualifications:

  • BS or MS in Computer Science, Electrical Engineering, Computer Engineering or related disciplines with strong background in SW development

  • Hands-on expertise in programming using Python/C++

  • 5+ years of experience in AI and ML techniques (LLMs, CNN, RNN, and GraphNN) with experience of application to real world optimization problems

  • Data structures, algorithms, and SW development for optimization problems

  • Hands on experience in Unix/Linux, revision control (Git, BitBucket), SW development and debug tools

  • Excellent analytical problem-solving skills

  • Strong verbal and written communication skills

Desirable skills/experience:

  • Strong understanding of design, layout, constraints (SDC, Clocks, CDC, RDC), Static timing analysis, Low-power, and Power-aware flows (UPF)

  • Prior experience in VLSI CAD methodology and tool development

  • Good understanding of HDL: System Verilog, Verilog, VHDL, front-end design, physical design and layout implementation/generation flows and tools

  • Understanding or prior experience with EDA tools for design, verification, DFT and implementation

  • Experience with Design revision control (GIT, DesignSync) and Make

  • Splunk, Jenkins, LSF and CI/CD process

Job location:

  • San Diego, CA

The base salary range for this position is as mentioned below per year. We also provide competitive benefits, incentive compensation, and/or equity for certain roles.
Company benefits include health. dental, and vision insurance. 401(k), and paid leave. Please note that the base salary range (OR hourly rate) is a guideline, and individual total compensation may vary based on a number of factors such as qualifications, skill level, work location, and other business and organizational needs. This base pay range is specific to California and is not applicable to other locations. A reasonable estimate of the base salary range as of the date of this posting is:

$125,000 to $171,900 annually

More information about NXP in the United States...

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

#LI-6692

Skills Required

  • Bachelor’s or master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related discipline
  • Strong software development background
  • Hands-on programming experience with Python and C++
  • 5+ years of experience applying AI and machine learning techniques to real-world optimization problems
  • Experience with LLMs, CNNs, RNNs, and Graph Neural Networks
  • Knowledge of data structures, algorithms, and software development for optimization problems
  • Hands-on experience with Unix/Linux, revision control, software development, and debugging tools
  • Excellent analytical and problem-solving skills
  • Strong verbal and written communication skills
  • Understanding of design, layout, constraints, SDC, clocks, CDC, RDC, static timing analysis, low-power, and power-aware flows such as UPF
  • Experience with VLSI CAD methodology and tool development
  • Understanding of SystemVerilog, Verilog, VHDL, front-end design, physical design, and layout implementation flows
  • Experience with EDA tools for design, verification, DFT, and implementation
  • Experience with Git, DesignSync, Make, Splunk, Jenkins, LSF, and CI/CD processes
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The Company
HQ: Eindhoven
21,993 Employees
Year Founded: 2006

What We Do

NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As a world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 34,500 employees in more than 30 countries and posted revenue of $13.21 billion in 2022. Find out more at www.nxp.com. Privacy Policy: https://www.nxp.com/company/about-nxp/privacy-policy-for-social-media-pages:PRIVACY-POLICY-SOCIAL-MEDIA

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