Research Manager, AI Infrastructure

We use cookies and similar technologies to personalize content and ads and analyze our traffic. We want to be transparent about the data we and our partners collect and how we use it, so you can best exercise control over your personal data. Please click here to review all cookies used on this site. By selecting "Accept All", you agree to our use of cookies and our sharing of information with our partners. You can elect to opt-out of this information collection by selecting "Reject All". Please utilize this cookie consent tool to manage or update your preferences. Learn more about our Privacy Statement. Cookie settings Accept all Reject all Skip to content Lenovo WHY LENOVO BENEFITS CULTURE LOCATIONS UNIVERSITY LOG IN ENGLISH Research Manager, AI Infrastructure General Information Req # 100017741 Career Area: Research/Development Country/Region: United States of America State: California City: San Jose Date: Friday, October 16, 2026 Working Time: Full-time Additional Locations: * United States of America - California - San Jose * United States of America - California - Palo Alto Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements *Please Note* This is a hybrid role in Palo Alto. This candidate will be required to work onsite three days a week. This candidate MUST be a US citizen or US national; US permanent residents or candidates requiring sponsorship cannot be considered. Position Description: Lenovo Intelligent Computing Lab (ICI) is seeking a technically credible, strategically minded researcher/leader  to join our world-class research group in AI computing infrastructure technology. Who are we at Lenovo ICI Lab? A global team of highly qualified researchers and engineers advancing the frontier of AI infrastructure and agentic AI acceleration to power Lenovo next-generation Hybrid AI strategies 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 The team has a dual mandate and a proven record on both fronts: shipping future-defining p

roducts for Enterprise AI and Personal AI, and publishing research at top-tier venues in systems, architecture, and machine learning The Role and Responsibilities Work with a group of talented and motivated researchers and translate breakthrough systems research into product and business impact. You will own the roadmap connecting emerging AI infrastructure technologies to the company's Hybrid AI strategy, balancing long-horizon research bets with near-term product deliverables. 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 Partner with product, engineering, and business development to transition research into Enterprise AI and Personal AI product lines Required 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 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 Demonstrated record of translating research into shipped products or production infrastructure Preferred Qualifications: Track record of publications at top-tier systems, architecture, or ML venues, and/or a substantial patent portfolio Direct experience with LLM serving optimization (e.g., KV cache management, speculative decoding, disaggregated prefill/decode, quantization-aware serving) Experience with agentic AI systems: multi-agent orchestration, tool-use pipelines, long-context and memory-augmented inference Familiarity with hybrid AI deployment models spanning cloud, edge, and on-device NPUs Experience with sustainability metrics and energy-aware system design (carbon-aware scheduling, perf/watt optimization) We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations: * United States of America - California - San Jose * United States of America - California - Palo Alto PAY TRANSPARENCY The anticipated annual compensation range for this position is 202,800–310,960 USD. Final compensation will be based on relevant experience, skills, and business considerations. Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at www.lenovobenefits.com Go back APPLY If you require an accommodation to complete this application, please contact ability@lenovo.com Share this job: Share Research Manager, AI Infrastructure with LinkedIn Share Research Manager, AI Infrastructure with a friend via e-mail Similar jobs View all Lenovo.com | Privacy | Terms of use | FAQs | Follow WeAreLenovo | Cookie Consent Tool Instagram Facebook Twitter LinkedIn YouTube