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Vlsi Design Automation Jobs (NOW HIRING)

$180 - $240/hr

Explore research ideas and solutions that bring AI/ML applications to VLSI design Work closely with ... automation applications include use of GenAI, Reinforcement Learning, Graph Neural Networks, and ...

Physical Design Engineer (7452)

San Jose, CA ยท On-site

$155K - $160K/yr

Develop and enhance CAD automation scripts and dashboards using TCL, Python, CSH, and other ... in VLSI-related coursework and projects. * A minimum of 3 years of industrial experience in ...

Showing results 41-60

Vlsi Design Automation information

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$65K

$97.1K

$155K

How much do vlsi design automation jobs pay per year?

As of Sep 1, 2026, the average yearly pay for vlsi design automation in the United States is $97,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $104,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a VLSI Design Automation engineer?

To thrive as a VLSI Design Automation Engineer, you need a strong background in digital design, computer architecture, and programming, typically supported by a degree in electrical engineering or computer engineering. Proficiency with EDA tools such as Cadence, Synopsys, and scripting languages like Python, Perl, or TCL, as well as knowledge of hardware description languages (HDLs) like Verilog or VHDL, is crucial. Analytical thinking, attention to detail, and effective teamwork are key soft skills that set top performers apart. These skills ensure efficient automation of design processes, high-quality chip designs, and successful collaboration in complex engineering environments.

What are some common challenges faced in VLSI Design Automation roles, and how can they be addressed?

Professionals in VLSI Design Automation often encounter challenges such as managing the increasing complexity of integrated circuits, meeting tight design timelines, and ensuring compatibility with evolving EDA tools. Addressing these challenges typically involves staying updated with the latest design methodologies, collaborating closely with cross-functional teams (such as verification, layout, and testing), and leveraging automation scripts to streamline repetitive tasks. Continuous learning and effective communication are key to overcoming these obstacles and delivering high-quality, optimized chip designs.

What is the difference between Vlsi Design Automation vs Vlsi Design Engineer?

AspectVlsi Design AutomationVlsi Design Engineer
CredentialsKnowledge of CAD tools, EDA software, and digital design principlesBachelor's or Master's in Electrical Engineering or Computer Engineering
Work EnvironmentPrimarily software development and tool creation in R&D or EDA companiesDesign and verification of integrated circuits in semiconductor companies or design firms
Industry UsageUsed across semiconductor, electronics, and EDA tool industriesApplied in chip design projects within similar industries

Vlsi Design Automation focuses on developing tools and methodologies to automate the chip design process, while Vlsi Design Engineers utilize these tools to create and verify integrated circuit designs. Both roles are essential in the semiconductor industry but differ in their primary functions and responsibilities.

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What cities are hiring for Vlsi Design Automation jobs?

Cities with the most Vlsi Design Automation job openings:

What states have the most Vlsi Design Automation jobs?

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What job categories do people searching Vlsi Design Automation jobs look for?

The top searched job categories for Vlsi Design Automation jobs are:

Infographic showing various Vlsi Design Automation job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $97,090 per year, or $46.7 per hour.

Director AI/ML Driven ASIC Design and Implementation Automation

NXP Semiconductors

San Diego, CA โ€ข On-site

Full-time

Posted 13 days ago


Job description

As a Director of AI/ML driven ASIC Design and Implementation Automation in our AI & 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 Digital 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++

  • 7+ 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

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.

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