Senior Platform Software Engineer – AI/ML, GPU Infrastructure

Cisco

. Architect and develop platform control-plane services, APIs, and controllers for multi-cluster lifecycle, tenant project onboarding, and GPU quota enforcement .

Posted 10/22/2026full-timeUnited StatesSenior💰 $167,700 - $245,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and developing Kubernetes-based platforms, focusing on GPU scheduling, multi-tenant infrastructure, and automated tooling for performance optimization. Proven ability to lead technical initiatives, mentor engineers, and implement Infrastructure as Code and CI/CD practices.

Highest-signal resume keywords

Kubernetes ArchitectureGo ProgrammingGPU SchedulingInfrastructure as CodeTechnical Leadership

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Hard Skills

KubernetesGoPythonGPU SchedulingAPIsKubernetes OperatorsCRDsCI/CDCloud-Native ObservabilityBatch Schedulers

Soft Skills

MentoringTechnical Leadership

Tools & Technologies

OpenShiftGitOpsKueueVolcanoSlurmNVIDIA H100NVIDIA H200AMD InstinctNVLinkInfiniBand

Industry Keywords

Multi-Cluster LifecycleTenant Project OnboardingWorkload OrchestrationAI/ML InfrastructureCloud-Native Software Engineering

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetesLinuxNode.jsOpenShiftPythonGo

About the role

Key responsibilities & impact

Architect and develop platform control-plane services, APIs, and controllers for multi-cluster lifecycle, tenant project onboarding, and GPU quota enforcement
Own technical architecture for GPU capacity scheduling and allocation, including fractional GPU allocation, multi-tenant isolation, and workload-aware scheduling
Design automated capacity-intake, demand-classification, and request-routing tooling
Architect automated remediation tooling for node and workload failures
Optimize system-wide performance for training and inference workloads
Design, build, and scale Kubernetes-based platforms using OpenShift or upstream Kubernetes
Lead design reviews and set technical standards for platform services, Kubernetes Operators, Controllers, CRDs, and Go/Python automation
Mentor engineers and raise cloud-native software engineering and platform reliability standards
Drive Infrastructure as Code, GitOps, and CI/CD automation
Participate in on-call rotation, incident response, and postmortem reviews

Requirements

What you’ll need

Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience
8+ years of software engineering experience building, architecting, or extending Kubernetes-based platforms or large-scale distributed systems
Technical leadership experience
Strong proficiency in Go or Python
Experience architecting platform control-plane services, custom APIs, Kubernetes Controllers, Operators, or CRDs
Hands-on experience with batch and accelerator schedulers such as Kueue, Volcano, Slurm, or custom scheduler plugins for GPU or AI/ML workloads
Deep experience with GPU scheduling, multi-tenant GPU infrastructure, or accelerated compute platforms
Experience with Infrastructure as Code, GitOps, CI/CD, and cloud-native observability tools
Preferred: experience scaling Kubernetes control plane internals or multi-cluster federation
Preferred: familiarity with NVIDIA H100, H200, B200/B300, AMD Instinct, NVLink, and InfiniBand
Preferred: familiarity with topology-aware placement, NCCL, and gang scheduling
Preferred: experience supporting AI/ML infrastructure, model serving, distributed training, workload orchestration, or MLOps
Preferred: Linux kernel tuning, cgroups, or eBPF experience
Preferred: experience leading ambiguous platform initiatives end-to-end
Preferred: experience with on-call rotations, incident response, and postmortem/runbook processes

Benefits

Comp & perks

Medical, dental and vision insurance
401(k) plan with a Cisco matching contribution
Paid parental leave
Short- and long-term disability coverage
Basic life insurance
Eligibility for Cisco restricted stock unit grants
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
Paid birthday day off
Paid year-end holiday shutdown
4 paid personal wellness days
16 days of paid vacation per full calendar year for non-exempt employees
Flexible vacation time off program for exempt employees
80 hours of sick time off provided on hire date and each January 1st, plus up to 80 hours of unused sick time carried forward
Additional paid time away for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses for non-sales roles, subject to Cisco policies