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Executive Eda Engineer Jobs (NOW HIRING)

Synopsys

AI, Executive Director

Sunnyvale, CA · On-site

$299K/yr

General Information Job Title AI Executive Director Job ID 15380 City Sunnyvale State/Province ... Exposure applying ML/AI concepts within engineering or EDA-related workflows is a strong plus.

Altera

DevOps CI/CD Software Engineering Manager

San Jose, CA · On-site

$61.75 - $84.75/hr

... EDA toolchains and large-scale, mission-critical software systems. This role combines technical ... Strong communication, stakeholder management, and executive-level presentation skills Job Type:

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Executive Eda Engineer information

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$57.5K

$103.7K

$154.5K

How much do executive eda engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for executive eda engineer in the United States is $103,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $112,500.00 per year, depending on experience, location, and employer.

What is an Executive EDA Engineer?

An Executive EDA Engineer is a senior-level professional specializing in Electronic Design Automation (EDA), which involves developing and managing software tools used to design and verify electronic systems such as integrated circuits and printed circuit boards. This role typically combines technical expertise in EDA tools and methodologies with leadership responsibilities, such as overseeing engineering teams, setting project direction, and collaborating with other departments. Executive EDA Engineers often play a key role in defining technology strategies, ensuring the adoption of best practices, and driving innovation within an organization’s electronic design processes.

What are the key skills and qualifications needed to thrive as an Executive EDA Engineer?

To thrive as an Executive EDA Engineer, you need deep expertise in electronic design automation (EDA), semiconductor design principles, and a relevant engineering degree, often with substantial industry experience. Proficiency with industry-standard EDA tools such as Cadence, Synopsys, or Mentor Graphics, as well as familiarity with scripting languages and verification systems, is crucial. Strong leadership, project management, and communication skills help in driving cross-functional teams and aligning technical strategies with business goals. These skills ensure the successful delivery of complex design projects, innovation in methodologies, and effective coordination within high-stakes environments.

What are some common challenges faced by Executive EDA Engineers when leading cross-functional design projects?

Executive EDA Engineers often encounter challenges related to coordinating efforts between hardware design, software development, and verification teams. Ensuring seamless integration of Electronic Design Automation tools across different platforms requires strong communication, project management skills, and a deep understanding of each team's workflows. Additionally, they must stay updated on rapidly evolving EDA technologies and industry standards, while managing tight project timelines and resource constraints. Proactively addressing these challenges is key to delivering successful, innovative design solutions.

What is the difference between Executive Eda Engineer vs Eda Engineer?

AspectExecutive Eda EngineerEda Engineer
CredentialsBachelor's or Master's in Electrical Engineering, certifications in EDA toolsBachelor's or Master's in Electrical Engineering, certifications in EDA tools
Work EnvironmentSenior-level projects, strategic planning, leadership rolesDesign, simulation, and verification tasks in EDA tools
Industry UsageUsed in semiconductor and electronics companies for high-level designUsed in similar industries for circuit design and verification

The main difference between an Executive Eda Engineer and an Eda Engineer lies in their level of responsibility. Executive Eda Engineers typically handle strategic planning, oversee projects, and lead teams, whereas Eda Engineers focus on hands-on design and verification tasks. Both roles require similar technical skills and certifications, but the Executive Eda Engineer operates at a higher managerial level within the industry.

What cities are hiring for Executive Eda Engineer jobs? Cities with the most Executive Eda Engineer job openings:
What are the most commonly searched types of Eda Engineer jobs? The most popular types of Eda Engineer jobs are:
What states have the most Executive Eda Engineer jobs? States with the most job openings for Executive Eda Engineer jobs include:
Executive Eda Engineer jobs near you
Infographic showing various Executive Eda Engineer job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 6% As Needed, 85% Full Time, 2% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $103,684 per year, or $49.8 per hour.

AI, Executive Director

Synopsys

Sunnyvale, CA • On-site

$299K/yr

Full-time

Re-posted 17 days ago

Job description

General Information
Job Title
AI Executive Director
Job ID
15380
City
Sunnyvale
State/Province
California
Date Posted
23-Feb-2026
Job Category
Engineering
Job Subcategory
AI
Hire Type
Employee
Remote Eligible
No
Base Salary Range: $299000 - $449000
Descriptions & Requirements
Job Description and Requirements
We Are:
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
You Are:
You are a visionary and influential engineering leader who has successfully implemented Artificial Intelligence and Machine Learning to re-engineer workflows, business processes, and operations, with a proven ability to scale AI from early experimentation to organization-wide impact.
You bring strategic vision and technical credibility, excelling at partnering with senior leadership to drive enterprise-wide AI adoption and guide the organization through transformational change. You communicate complex concepts with clarity and impact.
You apply AI to fundamentally redesign business workflows and operations, unlocking new levels of efficiency, predictability, and business growth. You are a builder of platforms, standards, and culture, able to break down complex problems into clear, actionable components. Your familiarity with semiconductor design methodologies and EDA tools helps you recognize opportunities to integrate AI into engineering workflows, for greater efficiency and productivity.
You maintain a constant pulse on the AI marketplace-emerging technologies, competitive trends, platform evolution, and ecosystem dynamics-and translate these insights into actionable strategy and scalable deployment.
You lead a multidisciplinary AI and engineering team that partners across the organization to mentor teams, consult on opportunities, and help design and deploy AI-enabled engineering and business workflows and tools. These initiatives drive maximum business impact and operational excellence. You work cross-functionally to ensure that all AI efforts align with enterprise governance, ethical standards, and responsible AI principles.
Core Competencies:
  • Deep expertise in machine learning and Generative AI, including LLMs and GPT-based architectures.
  • Hands-on experience building and deploying AI/ML applications at scale for engineering workflows and business processes.
  • End-to-end experience with AI systems, including data pipelines and MLOps.
  • Experience using cloud platforms to pilot, build, and deploy AI solutions at scale (e.g., AWS, Azure, GCP).
  • Ability to navigate semiconductor design environments, including digital and analog design methodologies, flows, and EDA tools.
  • Exposure applying ML/AI concepts within engineering or EDA-related workflows is a strong plus.
  • Experience with modern AI architectures, such as retrieval-augmented generation (RAG), vector databases, and embeddings for LLM-driven engineering tools.
  • Understanding of containerized and distributed systems (Docker, Kubernetes) for scalable AI deployments.
  • Familiarity with responsible AI and model governance, including model evaluation, safety, bias detection, and compliance frameworks.
  • Experience evaluating AI solutions and platforms, including vendor selection and architectural tradeoffs.

What You'll Be Doing:
  • Shaping AI-enabled workflows across semiconductor design, including enhancing business, operational, and engineering processes for improved efficiency and impact.
  • Leading a multidisciplinary team of AI architects, data scientists, software engineers, and business domain experts, all focused on designing and deploying transformative AI solutions for engineering and business functions.
  • Conducting experiments to evaluate model performance, identifying areas for improvement, and implementing optimizations for both engineering and business applications.
  • Collaborating with cross-functional teams, including engineering, IT, and business units, to develop scalable AI solutions that align with internal business and technical objectives.
  • Participating in generative AI platform teams ensure alignment with application requirements, deployment models, and release timelines for both engineering and business functions.
  • Communicating complex technical concepts and findings to senior leadership and to technical and non-technical stakeholders across the organization.
  • Leading solution architecture reviews, platform alignment, and deployment strategies for generative AI applications across engineering and corporate operations.
  • Driving innovation in new generative AI approaches and staying current on the latest research, with a focus on both enterprise and engineering applications.
  • Driving AI culture and mindset transformation across the organization, championing the integration of AI into how teams think, work, and deliver impact.

The Impact You Will Have:
  • Enhancing the organization's capabilities in AI and machine learning for both business operations and engineering functions.
  • Improving efficiency and performance of engineering flows through AI-driven design automation, verification, and Design IP solutions.
  • Shaping the future of corporate methodologies and engineering best practices with cutting-edge generative AI solutions.
  • Enabling the development of high-performance AI applications transforming both technical and business processes.
  • Leading initiatives that drive innovation, scalability, and excellence throughout the corporate and engineering environment.
  • Empowering and developing a high-performing team to amplify the impact of AI across the organization.

What You'll Need:
  • A bachelor's degree in engineering, computer science, or a related technical field, or equivalent experience
  • 8+ years of proven experience building, scaling, and deploying AI and machine learning systems, with at least 5+ years in a senior leadership role
  • Demonstrated track record of delivering enterprise-level AI solutions from experimentation to full-scale deployment
  • Deep expertise in modern AI architectures, including large language models, GPT-based systems, retrieval-augmented generation, and vector-based search architectures
  • Strong architectural judgment across cloud-based AI platforms and experience with scalable, containerized deployments
  • Excellent communication and presentation skills, capable of translating complex technical concepts for diverse audiences across engineering and business domains.
  • A strong foundation in applying AI across engineering-intensive workflows as well as business processes; familiarity with semiconductor design, EDA workflows, or equivalent technical domains is a plus but not required
  • Experience integrating AI solutions with corporate and engineering IT infrastructure, including databases, data warehouses, and API management.
  • Awareness of data privacy regulations and compliance issues, especially those relevant to corporate and engineering data (e.g., GDPR, CCPA).
  • Familiarity with project management methodologies and tools commonly used in both business and engineering settings.
  • Proven experience leading cross-functional AI and engineering teams and influencing organizational change

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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