Senior Technical Program Manager - AI Acceleration

What You'll Be Doing

Lead end-to-end planning and execution of AI for Chip Design initiatives, ensuring timely, on-scope, and scalable delivery.

Define program plans and timelines for AI capabilities, tracking progress, partnership status, risks, opportunities, and reporting status to leadership.

Lead technical discussions between AI engineers, hardware teams, platform groups, and third-party tool providers to ensure alignment on requirements, architecture, integration, and delivery expectations.

Operationalize the evaluation of both internal and external AI tools, drive their availability and adoption by collaborating with hardware teams, providing guidance, and gathering feedback for continuous improvement.

Act as a product and program interface between silicon design teams, internal AI platform teams, and third-party partners, helping prioritize requirements and translate user needs into actionable roadmaps.

Establish and monitor key program metrics to measure execution success, identify bottlenecks, and ensure delivery meets quality, performance, and scalability targets.

Serve as the central point of communication for all collaborators, providing clear status updates and insights into dependencies.

Partner with engineering leaders to prioritize initiatives that improve impact for silicon development and hardware workflows.

What We Need To See

A Bachelor’s degree or equivalent experience in Computer Science, Electrical Engineering, or a related field, with proven experience leading complex, multi-functional technical programs in AI, silicon, or infrastructure.

10+ years of technical program management spanning AI and ASIC chip design.

Strong understanding of RTL design, simulation, and formal verification, as well as software engineering fundamentals, system architecture, and scalable infrastructure.

Hands-on experience building, deploying, integrating, or enabling AI agents, LLM-powered systems, or AI productivity tools in real-world engineering workflows.

Proven ability to collaborate deeply with engineering teams and influence technical decisions, architecture, prioritization, and trade-offs.

Experience driving programs from concept through production, including planning, execution, risk management, team alignment, and delivery at scale.

Ability to gather, synthesize, and prioritize requirements from technical users, and communicate them clearly to internal engineering teams and external partners.

Excellent communication and leadership, with the ability to translate complex technical concepts into clear program direction and updates.

Ways To Stand Out From The Crowd

Hands-on experience in hardware or silicon development environments, understanding RTL, verification, and pre-silicon workflows.

Familiarity with cloud-scale infrastructure, orchestration systems, and data pipelines for AI applications.

Experience with cross-geography coordination and leading large teams or projects spanning multiple sites.