1 day ago
Base Salary
$168k - $245k/yr
Responsibilities
- Architect and develop platform control-plane services, APIs, and controllers for multi-cluster lifecycle management, project onboarding, and GPU quota enforcement.
- Own GPU capacity scheduling and allocation architecture, including fractional GPUs, multi-tenant isolation, workload-aware scheduling, and training-versus-inference placement.
- Build automated capacity-intake, demand-classification, request-routing, and remediation tooling.
- Design, build, and scale Kubernetes-based platforms using OpenShift or upstream Kubernetes.
- Lead design reviews and technical standards for platform services, Kubernetes Operators, Controllers, CRDs, and Go/Python automation.
- Mentor engineers and improve cloud-native software engineering and platform reliability practices.
- Drive Infrastructure as Code, GitOps, and CI/CD automation, and participate in on-call, incident response, and postmortem reviews.
Requirements
- 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, including technical leadership experience.
- Strong proficiency in Go or Python and 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 designing for reliability and operational excellence using Infrastructure as Code, GitOps, CI/CD, and observability tools such as Splunk, Prometheus, or Grafana.
- Preferred experience scaling Kubernetes control-plane internals or multi-cluster federation at large scale.
- Preferred familiarity with NVIDIA or AMD GPU architectures, NVLink, InfiniBand, NCCL, topology-aware placement, and gang scheduling.
- Preferred experience with model serving, distributed training, workload orchestration, MLOps platforms, Linux kernel tuning, cgroups, or eBPF.
- Preferred experience leading ambiguous platform initiatives and participating in on-call, incident response, postmortem, and runbook processes.
Benefits
- Medical, dental, and vision insurance; 401(k) with Cisco matching contribution; paid parental leave; disability coverage; and basic life insurance.
- Potential eligibility for Cisco restricted stock unit grants and annual bonuses for non-sales roles.
- Paid holidays, floating holiday, birthday leave, year-end shutdown, wellness days, vacation or flexible vacation time, sick time, family emergency leave, and optional paid volunteer days.
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.