Platform Software Engineer — AI Compute & GPU Infra

Cisco Systems, Inc; San Jose (CA); On-site; USD 155,000 - 223,000; Full time

Job summary

Cisco Systems, Inc. in the United States is seeking a Platform Software Engineer for the Platform Engineering team responsible for the AI Compute Platform's control-plane and GPU scheduling at scale.

You will design, build, and operate multi-cluster control planes, APIs, and Kubernetes-based platforms, working across engineering teams to maximize reliability and throughput of training and inference workloads.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 5+ years of software engineering experience building Kubernetes-based platforms or distributed systems.
• Strong Go or Python development skills with experience in platform control planes or CRDs.
• Hands-on experience with batch/accelerator schedulers for GPU/AI workloads.
• Experience with Infrastructure as Code, GitOps, CI/CD, and cloud-native observability tools.

Responsibilities

• Design and develop platform control-plane services, APIs, and controllers to manage multi-cluster lifecycle, tenant project onboarding, and GPU quota enforcement across shared and dedicated pools.
• Implement GPU capacity scheduling and allocation — including fractional GPU allocation, multi-tenant isolation, and workload-aware scheduling logic that accounts for training vs. inference differences.
• Build automated capacity-intake, demand-classification, and request-routing tooling that routes workloads to the right cluster and compute pool.
• Build automated remediation tooling that detects node and workload failures and helps optimize system-wide performance.
• Design, build, and maintain scalable, reliable Kubernetes-based platforms as the foundation of the AI Compute Platform.
• Develop platform services and automation using Kubernetes Operators, Controllers, CRDs, Go, Python, and modern software engineering practices.
• Develop platform automation, internal tools, and dashboards to improve platform visibility, efficiency, and reliability.
• Implement IaC, GitOps, and CI/CD automation for the platform; participate in on-call rotation.

Skills

Kubernetes platform engineering

Go or Python programming

Distributed systems

CI/CD and GitOps

GPU/AI workloads scheduling

Education

Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience

Tools

Terraform

Kubernetes Operators/CRDs

OpenShift or Kubernetes

Prometheus/Grafana

Job description

Cisco Systems, Inc. in the United States is seeking a Platform Software Engineer for the Platform Engineering team responsible for the AI Compute Platform's control-plane and GPU scheduling at scale.

You will design, build, and operate multi-cluster control planes, APIs, and Kubernetes-based platforms, working across engineering teams to maximize reliability and throughput of training and inference workloads.