Hiring: AI Infra Advisory Researcher Company: Lenovo Location: North Carolina, United States Job Posted Time: 2026-09-12 07:41:00 Employment Type: Hybrid Target Skills & Keywords : AI, Data Lakehouse, Data Pipeline, Deep Learning, Flink, Kafka, Kubernetes, MLOps, Machine Learning, PyTorch, Spark, TensorFlow About the job Required Skills: •The successful candidate will define technical approaches, lead complex research initiatives, and make architecture-level decisions across GPUs and other accelerators, CPUs, memory, storage, networking, distributed systems, data platforms, AI frameworks, and application workloads. •Define technical directions and lead major research and development initiatives in AI compute and data infrastructure, distributed AI systems, and intelligent infrastructure management. •Identify high-impact technical opportunities based on infrastructure challenges, emerging technologies, product requirements, and business value. •Architect end-to-end AI infrastructure solutions spanning hardware, system software, data platforms, distributed training and inference, and application workloads. •Lead hardware/software co-analysis and co-optimization across GPUs, accelerators, CPUs, memory hierarchy, storage, networking, runtimes, frameworks, and AI applications. •Define optimization strategies for GPU utilization, workload placement, resource orchestration, memory and cache efficiency, communication, data movement, storage access, and model execution. •Lead the architecture and optimization of large-scale data pipelines for data ingestion, preprocessing, transformation, storage, retrieval, and delivery to AI workloads. •Define intelligent observability and diagnostic technologies for anomaly detection, root-cause analysis, performance regression, capacity planning, system health assessment, and predictive maintenance. Qualifications: •Bachelor's degree in computer science, computer engineering, artificial intelligence, electrical engineering, applied mathematics, or a related field, or equivalent practical experience. •Five or more years of relevant experience in AI compute and data infrastructure, machine learning systems, distributed systems, data platforms, performance engineering, reliability engineering, or advanced software development. •Demonstrated leadership of technically complex research, architecture, or system development initiatives. •Strong hands-on programming and system architecture capabilities. •Deep expertise in at least three of the following areas: •Machine learning or deep learning •Distributed AI training and inference •Large-scale and streaming data processing •Time-series modeling or signal processing •Infrastructure diagnostics, reliability, and fault tolerance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!