Role OverviewLenovo Intelligent Computing Lab is seeking a technically credible, strategically minded researcher/leader to join our world-class research group in AI computing infrastructure technology. The team brings deep, hands-on expertise across intelligent computing technology, AI networking, sustainability, AI data storage, KV cache & data acceleration, and hardware/software co-optimization to enable full-stack efficiency for model training, fine-tuning, and serving.
What You Will Do
Work with a group of talented and motivated researchers and translate breakthrough systems research into product and business impact. 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 trade-offs for LLM training, fine-tuning, and inference/serving.
Why It Might Be a Fit
The ideal candidate will have a demonstrated record of translating research into shipped products or production infrastructure, and a strong track record of publications at top-tier systems, architecture, or ML venues.
Requirements
- 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
- Deep technical grounding in at least two of: AI accelerators and intelligent computing; datacenter networking; storage systems; memory hierarchy/KV cache optimization; energy-efficient systems design; distributed training/inference stacks
Benefits
- Competitive salary
- Equity
- Health insurance
- Paid time off
- Retirement plan
- Learning budget
- Parental leave
- Wellness programs
- Visa/relocation assistance
- Remote flexibility
- Bonus/commission
- Paid holidays
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