# AI Researcher

**Company**: Cisco
**Location**: San Francisco, California
**Experience**: senior
**Job type**: full-time
**Salary**: $184,000.00 - $238,800.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Francisco-California-US/AI-Researcher--Infrastructure--III--Full-Time---United-States-ENG-CPO-AISWP-ETR_2030417?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7dbf7a83-932

## Description

At Foundation AI, part of Cisco, we are leading frontier AI research. Our mission is to advance the state of AI and translate that research into purpose-built models, agentic systems, new algorithms, optimization methods, and scalable data processing techniques that solve real-world problems at scale.

As an AI Researcher on the infrastructure team of Foundation AI, you will design, build, and operate the platforms that help our researchers move from an idea to a reproducible experiment and a deployable model. You will make complex AI workloads easier to launch, observe, debug, and scale.

In this role, you will:

- Build shared platforms, services, and developer tools for pre-training, fine-tuning, reinforcement learning, evaluation, and inference.

- Develop and operate GPU and CPU computing infrastructure across clouds and regions.

- Create reproducible training and serving environments through automated container builds and dependency management.

- Build reliable rollout collection and isolated execution environments for agentic workloads.

- Connect experiment configurations, code, datasets, checkpoints, and evaluation results.

- Improve observability and performance across the stack.

- Partner with research and data teams to build dependable data and evaluation workflows.

- Work directly with researchers to understand their workflows and deliver well-documented capabilities.

Minimum Qualifications:

- Bachelors + 5 years of related experience, or Masters + 3 years of related experience, or PhD + 0 years of related experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

- Strong experience with Python, PyTorch, production-grade software engineering practices, and common AI/ML libraries.

- Experience with large language models, model training, fine-tuning, evaluation, inference, and optimization.

- Strong understanding of data pipelines, model experimentation, and scalable AI system design.

- Strong communication skills.

Preferred Qualifications:

- Experience with distributed GPU training or post-training systems.

- Familiarity with frameworks such as Megatron, NeMo, VERL, or comparable distributed training and reinforcement learning systems.

- Experience deploying and optimizing LLM serving systems.

- Experience building research platforms, experiment tracking, dataset or model catalogs, evaluation harnesses, or execution environments for AI agents.

- Experience with infrastructure as code, cloud identity and access management, secure workload isolation, and operational monitoring.

- A record of improving developer productivity, reliability, or compute efficiency.

- Contributions to open-source infrastructure or ML systems, technical publications, or familiarity with cybersecurity and security-focused AI applications.

The starting salary range posted for this position is $184,000.00 to $238,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations.

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## Skills

### Required
- Python
- PyTorch
- AI/ML libraries
- large language models
- model training
- data pipelines
- scalable AI system design
- communication skills

### Nice to have
- distributed GPU training
- Megatron
- NeMo
- VERL
- LLM serving systems
- research platforms
- infrastructure as code
- cloud identity and access management

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Francisco-California-US/AI-Researcher--Infrastructure--III--Full-Time---United-States-ENG-CPO-AISWP-ETR_2030417?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)