我组招人，AI infra Engineer/Researcher，3个坑，放水，速来

满血版JD如下，但是可根据资历和经验放水
地点在北卡，需要hybrid
简历发 rzhou213 级妹儿。com

Job Title: AI Infra Advisory / Senior Researcher
Job Summary
Lenovo is seeking an Advisory / Senior AI Researcher to lead AI data acceleration
research for enterprise-scale infrastructure data.
This role focuses on scalable data intelligence, time-series forecasting, graph-based
AI, LLM-assisted data processing, and GPU-accelerated computing.
The candidate will convert advanced AI research into production-ready platform
capabilities for Lenovo products and solutions.
Responsibilities
 Lead AI data platform research for large-scale enterprise infrastructure data.
 Build prediction and forecasting models for time-series signals, operational
metrics, and infrastructure events.
 Develop graph-based models to represent entities, dependencies, topology,
and causal relationships across infrastructure systems.
 Apply Bayesian networks, causal inference, Markov models, and graph neural
networks for anomaly detection and root-cause localization.
 Use LLMs to automate data cleaning, labeling, metadata generation,
document parsing, quality validation, and knowledge extraction.
 Optimize large-scale data pipelines for throughput, latency, reliability,
scalability, and cost efficiency.
 Explore GPU-accelerated data processing and model execution to improve
computational efficiency.
 Define rigorous evaluation metrics for model accuracy, data quality, system
performance, and business impact.
 Collaborate with global research, engineering, product, and business teams
to deliver platform capabilities.
Qualifications
 Master’s degree or above in Computer Science, Data Science, Statistics,
Mathematics, Engineering, or a related technical field.
 Minimum 5 years of hands-on experience in data science, machine learning,
applied AI, or AI platform research.
 Strong expertise in machine learning, deep learning, probabilistic modeling,
causal inference, and time-series forecasting.
 Strong experience with graph analytics, knowledge graphs, graph databases,
ontology modeling, entity resolution, or graph neural networks.
 Strong programming capability in Python, SQL, and distributed data

processing.
 Hands-on experience with Spark, PySpark, SparkSQL, Hadoop, or cloud-
based big data platforms.
 Experience with Apache Iceberg, Delta Lake, Hudi, Trino, Presto, or
equivalent lakehouse technologies.
 Experience with vector databases, embeddings, semantic search, and LLM-
based data workflows.
 Experience with CUDA programming, GPU-accelerated computing, NVIDIA
libraries, kernel optimization, memory optimization, or GPU performance
profiling.
 Experience with Git, Docker, CI/CD, model deployment, monitoring, and
production AI systems.
 Strong ability to define ambiguous research problems and deliver measurable
technical outcomes.
 Strong English communication skills for technical collaboration with global
teams.
 Preferred additional strengths include AI workload benchmarking, vLLM,
SGLang, TensorRT-LLM, publications, patents, open-source contributions, or
technical leadership in AI data platforms.

补充内容 (2026-07-27 23:50 +08:00):
抱歉，补充一个重要条件，需要citizenship

Preferred additional strengths include AI workload benchmarking, vLLM,
SGLang, TensorRT-LLM, publications, patents, open-source contributions, or
technical leadership in AI data platforms.

你们有多少b300？  800 我只要800！  openrouter屠版！

补充内容 (2026-07-22 08:28 +08:00):
发了 baonudesifeizhai

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