Software Engineering Technical Leader | AI Cluster Orchestrator & Automation Engineer | 15+ years

Posted Yesterday
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2 Locations
In-Office
Expert/Leader
Cloud • Information Technology • Internet of Things • Professional Services • Software
The Role
Lead the design and implementation of end-to-end automation for AI cluster provisioning, configuration, validation, lifecycle management, and teardown. Build idempotent workflows across GPU compute, networking, storage, and service nodes, integrating PXE, firmware, Kubernetes, Slurm, and infrastructure APIs. Develop health checks, drift detection, rollback, recovery, and observability capabilities while coordinating complex distributed dependencies and documenting operational processes.
Summary Generated by Built In

Meet the Team

We are a small, agile, and highly collaborative team at the forefront of AI Infrastructure Automation and Benchmarking & Certification. We partner closely with leading hardware and software vendors to design, validate, and deliver curated AI infrastructure solutions to our customers — all built on proven reference architectures that reduce risk and accelerate time-to-value.

Because we're a lean team, every member has real ownership and visibility into outcomes — from automating complex infrastructure workflows to running rigorous benchmarking and certification processes that ensure our solutions perform reliably at scale. We move fast, communicate openly, and lean on each other's expertise daily, making this a great environment for engineers who want to work across the full stack of AI infrastructure rather than being siloed into one narrow function.

Your Impact 

As a Software Engineering Technical leader for AI Cluster Orchestrator & Automation,  you will design and implementation of repeatable, end-to-end automation for AI cluster bring-up, configuration, validation, lifecycle management, and teardown across compute, network, and storage domains.

You will:

  • Build idempotent orchestration workflows for GPU nodes, service nodes, network fabrics, and storage.
  • Automate PXE, NVIDIA BCM, DHCP, Redfish, BIOS, firmware, OS, Kubernetes/operators, and Slurm integration.
  • Coordinate dependencies across compute, Cisco networking, storage/Vast, GPU platforms, and service nodes.
  • Implement health checks, configuration drift detection, validation gates, rollback, failure recovery, and operational observability.
  • Document runbooks, APIs, interfaces, and support handoffs.

Minimum Qualifications

  • Bachelors + 12 years of related experience, or Masters + 8 years of related or equivalent related work experience.
  • Experience with Linux systems and AI/GPU cluster architecture knowledge.
  • Coding experience using Python and automation/API development
  • Prior experience with PXE, DHCP, Kubernetes, Slurm, BIOS/firmware, networking, and storage integration.
  • Experience troubleshooting distributed provisioning failures and system dependencies.

Preferred Qualifications

  • Familiarity with REST/Redfish and infrastructure-as-code concepts.1024-GPU-class lab operations, Supermicro systems, Cisco UCS, NVIDIA platforms, Vast storage, and Cisco switching.
  • NVIDIA BCM, Cisco network automation, storage automation, and GPU server platforms such as Supermicro and Cisco UCS.
  • Experience automating multi-plane/ToR network designs and large-scale cluster lifecycle operations.
  • Familiarity with CI/CD, configuration management, logging, and telemetry systems.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 


Disclaimer

To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:

  • be in direct response to an application you have submitted through the company career site
  • begin with screening or an interview
  • originate from a Cisco email address, and
  • be conducted across email, phone, or WebEx

Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.

If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.


Skills Required

  • Bachelor’s degree plus 12 years of related experience, or master’s degree plus 8 years of related or equivalent experience.
  • Experience with Linux systems and AI/GPU cluster architecture.
  • Coding experience using Python and automation/API development.
  • Experience with PXE, DHCP, Kubernetes, Slurm, BIOS/firmware, networking, and storage integration.
  • Experience troubleshooting distributed provisioning failures and system dependencies.
  • Familiarity with REST/Redfish and infrastructure-as-code concepts.
  • Experience with large-scale AI cluster lab operations, Supermicro systems, Cisco UCS, NVIDIA platforms, VAST storage, and Cisco switching.
  • Experience with NVIDIA BCM, Cisco network automation, storage automation, and GPU server platforms.
  • Experience automating multi-plane/ToR network designs and large-scale cluster lifecycle operations.
  • Familiarity with CI/CD, configuration management, logging, and telemetry systems.

Cisco Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.

  • Healthcare Strength Health coverage is described as robust with multiple plan options and access to onsite/virtual LifeConnections Health Centers on major campuses. Company materials also highlight mental-health resources and comprehensive preventive care, supporting strong core medical benefits.
  • Leave & Time Off Breadth Time away includes company‑wide recharge days, a paid birthday, a year‑end shutdown, and paid Critical Time Off for emergencies. Paid volunteer days further expand opportunities to step away and recharge.
  • Parental & Family Support Policies include a global minimum for paid parental leave for primary caregivers, caregiving concierge services, and on‑site children’s learning centers in select locations. In the U.S., family‑building support is consolidated under Carrot with a defined lifetime maximum, indicating structured assistance across fertility, preservation, adoption, and surrogacy.

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The Company
HQ: San Jose, CA
77,500 Employees
Year Founded: 1984

What We Do

Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

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