# Senior Platform Software Engineer

**Company**: Cisco
**Experience**: senior
**Job type**: full-time
**Salary**: $167,700.00 to $245,200.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Senior-Platform-Software-Engineer---AI-ML---GPU-Infrastructure_2028133?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_123b1ef6-c8e

## Description

You'll join the Platform Engineering team building and operating Cisco's AI Compute Platform , the GPU infrastructure that powers model training, inference, and LLM workloads at scale.

As a Senior Platform Software Engineer on the Platform Engineering team, you will own the architecture, technical direction, and operation of the control-plane and scheduling systems that make GPU infrastructure usable at scale.

Responsibilities:

- Architect 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.

- Own the technical architecture for GPU capacity scheduling and allocation , including fractional GPU allocation, multi-tenant isolation, and workload-aware scheduling logic that accounts for training vs. inference differences.

- Drive the design and development of automated capacity-intake, demand-classification, and request-routing tooling that routes workloads to the right cluster and compute pool.

- Architect automated remediation tooling that detects node and workload failures, triggers automated remediation, and optimizes system-wide performance for training and inference workloads.

- Design, build, and scale reliable Kubernetes-based platforms as the foundation of the AI Compute Platform.

- Lead design reviews and set technical standards for platform services, Kubernetes Operators, Controllers, CRDs, and automation built with Go and Python.

- Mentor engineers across the team, raising the bar on cloud-native software engineering practices and platform reliability.

- Drive Infrastructure as Code, GitOps, and CI/CD automation for the platform; participate in on-call rotation, incident response, and postmortem reviews.

Minimum Qualifications:

- 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 software development proficiency in Go or Python, with a proven track record architecting platform control-plane services, custom APIs, Kubernetes Controllers, Operators, or CRDs.

- Hands-on experience building, architecting, or operating batch and accelerator schedulers for GPU or AI/ML workloads.

- Deep experience with GPU scheduling, multi-tenant GPU infrastructure, or managing workloads on accelerated compute platforms.

- Proven track record designing for reliability and operational excellence with Infrastructure as Code, GitOps, CI/CD, and cloud-native observability tools.

Benefits:

- Medical, dental, and vision insurance

- 401(k) plan with Cisco matching contribution

- Paid parental leave

- Short and long-term disability coverage

- Basic life insurance

- Paid time away (vacation, holidays, sick time)

- Optional 10 paid days per year to volunteer

- Annual bonuses for non-sales roles

- Performance-based incentive pay for sales roles

## Skills

### Required
- Kubernetes
- GPU
- Go
- Python
- Cloud-native software engineering
- Distributed systems
- API design

### Nice to have
- NVIDIA H100
- H200
- B200/B300
- AMD Instinct
- Topology-aware placement
- Collective-communication libraries
- Gang scheduling
- Low-level systems engineering

---

Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Senior-Platform-Software-Engineer---AI-ML---GPU-Infrastructure_2028133?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)