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AI Infrastructure Engineer - HPC - San Jose California
Company: Cisco Systems, Inc. Location: San Jose, California
Posted On: 01/28/2025
Who We Are Today's ambitious business environment is more than that - it's a period of disruption between the pandemic, global business changes, and internal process complexity. For us to focus on simplicity and the best customer experience, we need great talent and the right abilities to be successful. This is now a mantra for our Cisco leadership team and for us. Cisco's Information Technology team is changing the way we run Cisco's operations by improving the power of technology, the best business processes, and outstanding data insights. Together, we will Reinvent the Cisco experience. Show the world how to Reinvent applications and demonstrate the future of the Internet to Showcase the power of Cisco: our people, products, processes, systems, and data. Please join us and make this journey together! Who You'll Work With When you work with us, you will work as part of a hardware and software engineering team that designs and develops Hybrid-Cloud compute platforms and capabilities that are crucial to keeping Cisco's critical business applications and processes available. Who You Are You are an experienced technical leader in artificial intelligence, machine learning, data analytics, software engineering, and managing complex integrated systems. An excellent collaborator who can partner, lead, teach, and communicate advanced technical concepts. A talented and passionate engineer comfortable working in high-pressure, large-scale enterprise environments. 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 |
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