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Eda Director Jobs (NOW HIRING)

... are hiring a Director of IT & DevOps to own it end to end. This is a single leadership role ... On the other you will own our Austin datacenter, EDA compute and licensing, CI/CD, Kubernetes and ...

Silicon Ecosystem Partnerships Director - US Santa Clara, California | Global GTM and Product ... Foundry, ASIC, IP, and EDA Engagement * Coordinate with engineering, operations, product, legal ...

You will operate an EDA environment representing $5-10M in annual spend, a three-zone infrastructure model (Corporate, Design/CAD, Lab/OT) governed by export-control classification. CAD and IT carry ...

You will operate an EDA environment representing $5-10M in annual spend, a three-zone infrastructure model (Corporate, Design/CAD, Lab/OT) governed by export-control classification. CAD and IT carry ...

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Eda Director information

What does an EDA Director do?

An EDA Director oversees the operations and strategic direction of an Economic Development Agency (EDA). Their responsibilities typically include managing programs that promote economic growth, attracting new businesses, supporting local enterprises, and ensuring compliance with regulations. They often collaborate with government officials, community leaders, and private sector partners to develop initiatives that stimulate job creation and community development. The EDA Director also supervises staff, manages budgets, and evaluates the effectiveness of economic development programs.

What are some of the main challenges an EDA Director faces when leading cross-functional teams in semiconductor development projects?

EDA Directors often encounter challenges in aligning the goals and workflows of cross-functional teams, which may include design engineers, verification specialists, and software developers. Effective communication and project management are essential to ensure everyone stays on track with tight deadlines and rapidly changing technologies. Additionally, EDA Directors must stay updated with the latest design automation tools and methodologies to support innovation while balancing resource constraints and project deliverables. Building strong relationships and fostering collaboration across diverse teams are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as an EDA Director, and why are they important?

To thrive as an EDA (Economic Development Administration) Director, you need strong leadership abilities, strategic planning skills, and a background in economic development or public administration, often supported by a relevant degree. Familiarity with economic modeling tools, grant management systems, and compliance with federal or state regulations is typically required. Excellent communication, stakeholder management, and problem-solving skills set outstanding candidates apart in this role. These competencies are crucial for driving sustainable economic growth, securing funding, and building effective partnerships within communities.

What are the most commonly searched types of Eda jobs?

The most popular types of Eda jobs are:

What are popular job titles related to Eda Director jobs?

For Eda Director jobs, the most frequently searched job titles are:

Applied ML Director (Technical Team Lead)

San Jose, CA β€’ On-site

Cadence Design Systems, Inc.
Software DevelopmentΒ β€’Β 5 - 10K employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Key responsibilities

  • Lead and mentor a team of ML and software engineers to develop AI agents for semiconductor design workflows.

  • Design, implement, and review scalable infrastructure for AI agents, evaluation systems, and data pipelines within the ChipStack SuperAgent ecosystem.

  • Oversee system performance, including continuous integration, automated testing, and high-level architectural decisions to optimize latency, cost, reliability, and scalability.


Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
About Us
Chips are at the center of today's tech-driven world. But how we design and verify them has not fundamentally changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from AI. We are a dynamic, fast-moving team of software developers, ML scientists, and research-minded engineers on a mission to change that.
Operating with the agility of a startup but backed by industry-leading verification technologies, we are part of the System Verification Group (SVG). Our charter is to develop state-of-the-art EDA software and hardware platforms (including Xcelium, Jasper, Palladium, Protium, and Helium) and supercharge them with cutting-edge AI, automation, and advanced data-driven workflows.
About This Role
Cadence Design Systems is the leading provider of design automation tools for electronic and intelligent systems design. As the Applied ML Director for the ChipStack SuperAgent Team, you will lead a highly technical group of ML and software engineers responsible for designing, implementing, and evaluating AI agents that enhance productivity across the semiconductor design lifecycle.
This is a true "player-coach" role. You will act as the technical backbone of the team-deeply hands-on with architecture, system design, and coding-while concurrently managing, mentoring, and scaling the engineering team. You will drive the technical roadmap for our agent infrastructure, evaluation systems, and production-grade AI capabilities integrated within Cadence's EDA ecosystem. The ideal candidate pairs seasoned engineering leadership with practical, in-the-weeds experience building scalable ML systems and agentic workflows.
Responsibilities
  • Lead & Mentor: Manage and grow a high-performing team of ML and software engineers. Foster a culture of technical excellence, continuous learning, and rapid execution.

  • Hands-On Technical Leadership: Drive the technical vision and actively contribute to the codebase. Design, implement, and review scalable infrastructure for AI agents within the ChipStack SuperAgent ecosystem.

  • Architect Production AI: Guide the development of robust evaluation frameworks, data pipelines, retrieval systems (RAG), and context-engineering strategies to ensure consistent, grounded, and aligned agent behavior.

  • Operational Excellence: Oversee continuous integration, automated testing, and observability systems. Make high-level architectural decisions to optimize system performance across latency, cost, reliability, and scalability.

  • Cross-Functional Collaboration: Partner with product management, research, and core engineering teams to align the AI roadmap with overarching EDA platform goals.

Required Qualifications
  • Education: MS or PhD in Computer Science, Computer Engineering, or a related technical field.

  • Leadership Experience: 3+ years of direct engineering management or formal technical lead experience, with a proven track record of successfully mentoring engineers and delivering complex projects.

  • Engineering Fundamentals: 7+ years of hands-on software engineering and ML experience. You must possess deep expertise in design, refactoring, debugging, and testing distributed systems-and you should still be comfortable writing production-quality code today.

  • LLM Expertise: Deep understanding of large language models (LLMs) and the practical realities of deploying them in production (latency, cost, reliability, monitoring, and failure analysis).

  • System Evaluation: Experience designing rigorous evaluation frameworks for AI systems, including benchmarking and regression testing.

Skills of Interest
  • Agent Architecture: Hands-on experience with reason-act loops, planning/self-correction patterns, tool/function calling, persistent memory systems, and structured outputs.

  • LLM Engineering: Familiarity with frontier LLMs and trade-offs across model families; practical experience with prompt engineering, context management, and model alignment techniques.

  • Retrieval & Data Systems: Deep understanding of RAG pipelines, embeddings, indexing strategies, chunking methodologies, and grounding techniques.

  • Infrastructure & Observability: Experience building logging, tracing, monitoring, and evaluation systems specifically tailored for ML/AI applications.

  • Domain Interest: A strong interest in semiconductor design, EDA workflows, and high-performance computing environments (prior EDA experience is a plus, but not required).

Our Culture
  • Challenge the status quo: We are innovators who challenge industry norms and push forward our vision of how silicon should be built.

  • Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning.

  • Ship fast, ship quality: We ruthlessly prioritize what matters. We build at lightning speed, but never compromise on the high standards required by the semiconductor industry.

  • Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and go the extra mile to ensure an exceptional experience for our users.

The annual salary range for California is $178,500 to $331,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.
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