Cisco AI Infrastructure Engineer 

United States, North Carolina, Cary 

461657525

What You Will Do

Cisco IT is building, developing, and expanding our artificial intelligence platform, which will empower the business to fundamentally change the world. You will be a technical leader in the Infrastructure Services organization, building and managing the internal NVIDIA DGX and Cisco-UCS based AI platforms at Cisco. You will provide leadership in the design and implementation of several GPU compute clusters that run demanding deep learning, high-performance computing, and computationally intensive workloads. You will be responsible for AI hardware analysis, design, procurement, and support. You will be an expert in identifying architectural changes and/or completely innovative approaches for our artificial intelligence platform.

• Technical leader who can lead and motivate teams, present, and communicate complex topics.
• Technical hands-on role in building and supporting NVIDIA & Cisco UCS based artificial intelligence platforms.
• Plan, build, and install/upgrade new systems that support NVIDIA DGX and Cisco UCS hardware and software.
• Automate configuration management, software updates, and maintenance and monitoring of GPU system availability using modern DevOps tools (Ansible, GitLab, etc.).
• Lead the advancement of artificial intelligence platforms and practices.
• Evaluate system performance based on industry-relevant benchmarks.
• Identify and optimize performance bottlenecks to drive system and workflow efficiency.
• Administer Linux systems, ranging from powerful GPU-enabled servers to general-purpose compute systems.
• Collaborate closely with internal Cisco Business Units, application teams, and cross-functional technical domains.
• Create written technical designs, documents, and presentations.
• Stay up to date with AI industry advancements and cutting-edge technologies.
• Accelerate the delivery of AI capabilities across our portfolio.
• Design new tools to monitor alerts that will help discover failures or issues before our customers.
• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.

Our Minimum Requirements include:

• 7+ years of previous experience deploying and administrating HPC clusters
• Familiar with GPU resource scheduling managers (Slurm (preferred), Kubernetes, and/or RunAI, etc.).
• Proficient in Hybrid Cloud, Virtualization, and Container technologies.
• Experience with provisioning tools like Base Command Manager, Warewulf, Satellite, and/or Ironic.
• Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).
• Experience with automation tools like Ansible, SaltStack, Puppet and/or Chef
• Proficient in general-purpose programming languages (Python, GoLang, Bash and/or C/C++) and development platforms and technologies.

Preferred Qualifications

• Deep understanding of operating systems, computer networks, and high-performance applications.
• Established record of leading technical initiatives, delivering results, and a commitment to fostering a supportive work environment.
• Hard-working, dedicated to providing quality support for your customers.