Senior Technical Program Manager - AI Acceleration

Details

We are building the next generation of AI-powered simulation tools to accelerate hardware and silicon development. This role will drive multi-functional programs, scale systems, and deliver AI capabilities that transform how silicon is designed, verified, and brought to production. It will also enable AI productivity across hardware teams by making internal and third-party AI tools available, understanding user requirements, and translating feedback to internal platform teams and external partners.

Responsibilities

• 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 align requirements, architecture, integration, and delivery expectations.
• Operationalize the evaluation of internal and external AI tools, drive their availability and adoption by collaborating with hardware teams, provide guidance, and gather 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 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.

Requirements

• Bachelor's degree or equivalent experience in Computer Science, Electrical Engineering, or a related field.
• Proven experience leading complex, multifunctional technical programs in AI, silicon, or infrastructure.
• 10+ years of technical program management experience spanning AI and ASIC chip design.
• Strong understanding of RTL design, simulation, formal verification, 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 skills, with the ability to translate complex technical concepts into clear program direction and updates.

Additional Qualifications

• Hands-on experience in hardware or silicon development environments, including RTL, verification, and pre-silicon workflows.
• Experience evaluating, integrating, or deploying third-party tools into enterprise engineering environments.
• 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.

Compensation and Benefits

• Base salary for Level 4: USD 168,000–258,750 per year.
• Base salary for Level 5: USD 200,000–322,000 per year.
• Eligibility for equity and benefits.
• NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.