Applied ML Director (Technical Team Lead)

Cadence Design Systems, Inc.
San Jose, CA, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Automation of Tests Computer Engineering Machine Learning Software Deployment Software Engineering AI Infrastructure Large Language Models Information Technology Machine Learning Operations

Job description

Experteer Overview In this role you will lead the ChipStack SuperAgent Team, guiding a technical, hands-on ML and software group to design, implement, and evaluate AI agents that boost productivity across the semiconductor design lifecycle. You will shape the technical roadmap for agent infrastructure and production-grade AI within Cadence’s EDA ecosystem, while mentoring engineers and driving scalable ML systems. You will partner with product, research, and core engineering to align AI work with overall platform goals. This is a high-impact, player-coach leadership position at the intersection of AI and silicon design. Compensation / Benefits * Lead & mentor a high-performing ML and software engineering team * Drive technical vision and contribute to the codebase * Architect and build production AI infrastructure for AI agents * Oversee CI, automated testing, and observability to ensure reliability * Coordinate with product management, research, and core engineering to align AI roadmap Tasks * MS or PhD in Computer Science or Computer Engineering * 3+ years of direct engineering management or technical lead experience * 7+ years of hands-on software engineering and ML experience * deep understanding of LLMs and production deployment considerations * Experience designing rigorous evaluation frameworks for AI systems Key requirements * paid vacation * paid holidays * 401(k) with employer match * employee stock purchase plan * medical, dental, and vision plans * bonus and equity opportunities

Requirements

years Tasks * MS or PhD in Computer Science or Computer Engineering * 3+ years of direct engineering management or technical lead experience * 7+ years of hands-on software engineering and ML experience * deep understanding of LLMs and production deployment considerations * Experience designing rigorous evaluation frameworks for AI systems Key requirements * paid vacation * paid holidays * 401(k) with employer match * employee stock purchase plan * medical, dental, and vision plans * bonus and equity opportunities

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