Applied ML Director (Technical Team Lead)

Cadence Design Systems; San Jose (CA); On-site; USD 179,000 - 332,000; Full time

Benefits offered by this job

Bonus eligibility

Equity

401(k) plan

Medical/dental/vision coverage

Paid vacation & holidays

Job summary

Cadence Design Systems seeks an Applied ML Director for the ChipStackSuperAgentTeam to lead ML and software engineers in designing, implementing, and evaluating AI agents that boost productivity across the semiconductor design lifecycle.

This player-coach role combines hands-on architecture and coding with team mentoring, shaping the technical roadmap for agent infrastructure, evaluation systems, and production-grade AI within Cadence’s EDA ecosystem.

Qualifications

• MS or PhD in Computer Science, Computer Engineering, or related technical field.
• 3+ years of direct engineering management or formal technical lead experience with mentoring engineers.
• 7+ years of hands-on software engineering and ML experience, including design, refactoring, debugging, and testing distributed systems.
• Deep understanding of large language models (LLMs) and deploying them in production (latency, cost, reliability, monitoring).
• Experience designing rigorous evaluation frameworks for AI systems, including benchmarking and regression testing.

Responsibilities

• Lead and mentor a high-performing team of ML and software engineers.
• Hands-on technical leadership: contribute to codebase and design scalable AI agent infra.
• Architect production AI: guide evaluation frameworks, data pipelines, retrieval systems (RAG), and context-engineering strategies.
• Oversee CI, automated testing, and observability systems; make architectural decisions for performance, cost, and reliability.
• Collaborate with product, research and core engineering to align AI roadmap with EDA platform goals.

Skills

Leadership experience

ML engineering

Distributed systems

LLM deployment

Evaluation frameworks

Education

MS or PhD in Computer Science/Engineering

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 developstate-of-the-artEDA software and hardware platforms (includingXcelium, Jasper, Palladium, Protium, and Helium) and supercharge them withcutting-edgeAI, 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 theChipStackSuperAgentTeam, 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 theChipStackSuperAgentecosystem.
• Architect Production AI: Guidethe 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 tooptimizesystem 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, ora relatedtechnical field.
• Leadership Experience: 3+ years of direct engineering management or formal technical lead experience, with a proventrack recordof successfully mentoring engineers and delivering complex projects.
• Engineering Fundamentals: 7+ years of hands-on software engineering and ML experience. You mustpossessdeepexpertisein 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 aplus, butnotrequired).

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 lightningspeed, butnever compromise on thehigh standardsrequired 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.

We’re doing work that matters. Help us solve what others can’t.