1414264 - NVIDIA Technical Systems Engineer.

Who We Are

Today’s ambitious business environment is more than that it’s a period of disruption between the pandemic, global business change 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 of 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!

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 critical member of the Cloud Infrastructure and Platform Services (CIPS) organization building and managing the internal AI platform at Cisco.

You will provide leadership in the design and implementation of GPU compute cluster that runs 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 hand-on role in building and supporting NVIDIA based artificial intelligence platforms.
• Plan, build and install / upgrade new systems that support NVIDIA DGX 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.
• 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.

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.

Our Minimum Requirements include :

• You have a BA, BS, or MS in CS, EE, CE or equivalent experience.
• 5+ years of previous experience deploying and administrating HPC clusters.
• Familiar with GPU resource scheduling managers (Slurm (preferred), RunAI, etc.).
• Proficient in Hybrid Cloud, Virtualization, and Container technologies.
• Deep understanding of operating systems, computer networks, and high-performance applications
• Familiar with project tracking tools (e.g. Jira), Git (any Version Control systems), and CI / CD systems (e.g. GitLab, GitHub Actions, Jenkins).
• Proficient in general purpose programming languages (Python, GoLang, C / C++) and development platforms and technologies (GIT, JIRA, Jenkins, etc.).
• Experience with Agile and DevOps operating models.
• Hard-working dedication to provide quality in support for your customers.
• Established record of leading technical initiatives and delivering results.
30+ days ago