AI Infrastructure Research Lead - Hybrid Bay Area

Lenovo; San Jose (CA); Hybrid; USD 203,000 - 311,000; Full time

Job summary

Lenovo Intelligent Computing Lab (ICI) in San Jose, CA, is seeking a technically credible, strategically minded researcher/leader to join our world-class AI computing infrastructure team.

You will define high-leverage research bets, guide system architecture and power efficiency, and drive transitions of research into Enterprise and Personal AI product lines, aligning with Lenovo's Hybrid AI strategy.

Qualifications

• Advanced degree (PhD/MS) in computer science, computer engineering, or related disciplines.
• 8+ years in systems/architecture/AI infrastructure R&D, including 3+ years leading research or advanced development teams.
• Proven ability to translate research into shipped products or production infrastructure.

Responsibilities

• Define and identify high-leverage research bets in AI computing infrastructure, prioritizing against product and business impact.
• Provide hands-on technical guidance on system architecture, performance, power efficiency, and co-optimization for LLM training, fine-tuning, and inference/serving.
• Partner with product, engineering, and business development to transition research into Enterprise AI and Personal AI product lines.

Skills

AI accelerators

Datacenter networking

Storage systems

KV cache optimization

Energy-efficient systems

Distributed training

Inference stacks

LLM serving optimization

Agentic AI systems

Hybrid AI deployment

Sustainability metrics

Education

PhD/MS in CS/CE

Job description

Lenovo Intelligent Computing Lab (ICI) in San Jose, CA, is seeking a technically credible, strategically minded researcher/leader to join our world-class AI computing infrastructure team.

You will define high-leverage research bets, guide system architecture and power efficiency, and drive transitions of research into Enterprise and Personal AI product lines, aligning with Lenovo's Hybrid AI strategy.