Lenovo
Research Manager, AI Infrastructure
$203K–$311K
San Jose, California · Manager · Full-time · Posted Oct 16, 2026
- Experience
- 8+ years in systems/architecture/AI infrastructure R&D, including 3+ years leading research or advanced development teams.
- Education
- Advanced degree (PhD/MS) in computer science, computer engineering, or related disciplines.
- Visa sponsorship
- Must be a US citizen or US national; US permanent residents and candidates requiring sponsorship cannot be considered.
About the job
Leads AI infrastructure research strategy and technical direction, translating systems research into products and business impact for Lenovo’s Hybrid AI strategy.
What you'll do
- Define and prioritize AI infrastructure research bets based on product and business impact.
- Guide system architecture and trade-offs for performance, power efficiency, and co-optimization across LLM training, fine-tuning, and inference/serving.
- Partner with product, engineering, and business development to transition research into Enterprise AI and Personal AI products.
What they ask for
- Advanced degree (PhD/MS) in computer science, computer engineering, or related disciplines.
- Deep technical grounding in at least two specified AI infrastructure areas.
- Demonstrated record of translating research into shipped products or production infrastructure.
Nice to have
- Publications at top-tier systems, architecture, or ML venues and/or a substantial patent portfolio.
- Experience in LLM serving optimization, agentic AI systems, hybrid AI deployment, or sustainability-focused system design.
Pay
202,800–310,960 USD (annual compensation range; base or total pay not specified)
Tools
LLM, KV cache, speculative decoding, disaggregated prefill/decode, quantization-aware serving, cloud, edge, on-device NPUs
AI focus
Research and leadership in AI computing infrastructure and agentic AI acceleration, including LLM training, fine-tuning, inference/serving, and translating research into Enterprise AI and Personal AI products.
Model-written summary · the original posting is authoritative