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About the role

Overview: As an AI Researcher on Foundation AI’s Infrastructure team, you will design, build, and operate platforms enabling researchers to move from idea to reproducible experiments and deployable models. You’ll simplify launching AI workloads, improve observability, and drive scalable, reliable systems for training, evaluation, and inference. You’ll own projects from problem identification to solution deployment, with opportunities to contribute to open source and research. This role offers a chance to shape scalable AI workflows and accelerate research at Cisco.” Compensation / Benefits medical, dental, and vision insurance 401(k) with matching paid parental leave vacation and paid time off sick time and holiday leave volunteer days
Responsibilities: Build shared platforms and tools for pre-training, fine-tuning, RL, evaluation, and inference Operate GPU and CPU infrastructure across clouds and regions including orchestration and resource sharing Create reproducible environments via automated container builds and release workflows Develop rollout collection and isolated execution environments for agentic workloads Connect configurations, datasets, checkpoints, and results to enable reproducible experiments and comparisons Improve observability and performance across the stack by diagnosing bottlenecks
Key requirements: Bachelor's, Master's, or PhD in Computing or related field with related experience Strong Python and PyTorch experience Experience with large language models, training, fine-tuning, evaluation, and inference Solid understanding of data pipelines and scalable AI system design Strong communication skills to explain complex concepts to cross-functional partners Cross-functional collaboration Problem-solving mindset Clear communication Python PyTorch experience with LLMs and model training/fine-tuning

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JOB OVERVIEW

Experience level

Lead

Location

San Jose, CA

Occupation

Computer and Information Research Scientists

Industry

Computer Systems Design Services

Posted

today

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