C

Cisco

Makes networking gear and security software

AI Infrastructure Technical Systems Engineer

Platform Engineering +1Updated on Nov 13
Full-timeResearch Triangle Park, Durham, NC, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, IT, or a related discipline, with at least five years of progressive experience in enterprise systems engineering, high-performance computing, AI infrastructure, or Site Reliability Engineering.
  • Proficiency in Python, Go, or Bash, with extensive experience building declarative automation using Ansible, Terraform, continuous integration/continuous delivery, and GitOps.
  • Advanced expertise designing and administering production Kubernetes, Red Hat OpenShift, and high-performance computing workload managers including Slurm, Kueue, Volcano, and Ray.
  • Strong hands-on understanding of AI backend network fabrics, RDMA technologies such as RoCEv2, and high-speed multi-hundred-gigabit network topologies.
  • In-depth knowledge of enterprise Linux, including RHEL or Ubuntu, kernel module lifecycle, memory subsystems, GPU device drivers, and out-of-band management such as Redfish and IPMI.

Responsibilities

  • Lead the architectural design, hardware qualification, capacity planning, and maintenance of large-scale bare-metal GPU clusters using NVIDIA or AMD hardware.
  • Architect resilient, multi-tenant compute and control planes across bare-metal Kubernetes, enterprise container platforms such as Red Hat OpenShift, and HPC cluster managers such as NVIDIA BCM.
  • Collaborate with network engineering to design, benchmark, and optimize high-throughput, low-latency backend fabrics using RDMA, RoCEv2, and 400G/800G networking.
  • Champion Site Reliability Engineering to eliminate operational toil, drive autonomous self-healing, and uphold stringent service-level objectives.
  • Architect infrastructure-as-code and GitOps deployment pipelines using Ansible, Terraform, Python, Go, and modern continuous integration/continuous delivery tooling.
  • Oversee automated workflows for firmware baselines, BIOS/BMC configuration, kernel driver updates, platform upgrades, and certificate rotations.
  • Optimize distributed workload scheduling, fair-share queueing, and GPU quota governance across Slurm, Kueue, Volcano, and Ray frameworks.
  • Profile low-level systems performance and diagnose device interconnect bottlenecks, bandwidth utilization, memory hierarchies, and compute efficiency.
  • Establish automated Day-2 diagnostics and recovery procedures for GPU degradation, driver anomalies, and hardware faults.
  • Architect end-to-end observability standards using OpenTelemetry, Prometheus, and Splunk to deliver role-specific visualization dashboards and anomaly detectors.
  • Serve as the senior escalation authority for high-impact incidents, lead root-cause analyses, and align operations with ITIL frameworks.
  • Author architecture blueprints and standard operating procedures, and mentor and coach mid-level and senior engineers.

Desired Qualifications

  • A master's degree in Computer Science, Computer Engineering, or a related technical discipline, or an additional two or more years of equivalent specialized engineering experience.
  • At least three years of experience managing enterprise server platforms at scale, such as environments with 500 or more nodes, including automated hardware provisioning and centralized infrastructure management solutions.
  • At least two years of hands-on experience deploying, troubleshooting, and optimizing heterogeneous GPU software stacks such as NVIDIA CUDA and AMD ROCm, and executing GPU validation suites in production environments.
  • At least three years of experience designing and implementing enterprise secrets management architectures such as HashiCorp Vault and integrating identity federation protocols including OIDC, SAML, and SSO across multiple production applications.
  • At least one active, current, industry-recognized advanced certification, such as CKA/CKS, RHCA/RHCE, or advanced networking credentials.
  • A demonstrable record of active contributions, such as verifiable authored commits, merged pull requests, or published technical documentation, to open-source infrastructure projects, Kubernetes SIGs, HPC scheduling communities, or telemetry frameworks.

About the Company

Cisco

Makes networking gear and security software

Cisco makes the switches and routers that connect offices, data centers, and cloud services, and it also sells cybersecurity tools and Webex video meetings to businesses and governments. It was one of the first companies to sell routers that let different kinds of computer networks exchange data, and in 2000 it briefly became the world's most valuable company. Customers run its network gear, from Wi-Fi access points to AI data center systems, with Cisco software that sets up and secures the network, while its Splunk unit searches computer logs to catch outages and attacks. Cisco earns money from hardware sales, software subscriptions, and support contracts. It was founded in 1984 and is based in San Jose, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1984

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