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Added 1 min ago
DevOps Engineer
SABEL SYSTEMS TECHNOLOGY SOLUTIONS LLC
Remote, United States
Coordinate with IaaS-provided personnel on server, network, and application dependencies affecting Spacestation
Added 3 mins ago
Research & Development Engineer - Landauer
Fortive
Glenwood, IL
Landauer, Inc., a global leader in radiation sciences, is looking for a talented and creative Research and Development Engineer that will use knowledge of scientific techniques to…
Added 4 mins ago
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Staff Software Engineer
Walmart Inc.
Sunnyvale, CA
- $150,080 to $286,000 USD / year
This notice is being provided as a result of the filing of an Application for Permanent Alien Labor Certification. Any person may provide documentary evidence bearing on the application to…
Added 4 mins ago
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Software Engineer III
Walmart Inc.
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- $90,000 to $180,000 USD / year
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Software Engineer III
Walmart Inc.
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Walmart Inc.
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- $150,080 to $234,000 USD / year
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Added 4 mins ago
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Software Engineer III
Walmart Inc.
Sunnyvale, CA
- $150,080 to $234,000 USD / year
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Added 4 mins ago
WI
Senior Software Engineer
Walmart Inc.
Sunnyvale, CA
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…reliable code using languages such as JavaScript, TypeScript, Python, Java, Rust, Dart, and C++. Drives full software development lifecycle, including CI/CD deployments, automated testing,…
Added 6 mins ago
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Beamline Operator
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- $54,600 to $68,300 USD / year
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Added 8 mins ago
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Lead Data/AI Engineering
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Remote, United States
- $158,200 to $237,400 USD / year
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Added 12 mins ago
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AI Software Systems Engineer II
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Goleta, CA
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Added 13 mins ago
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Added 13 mins ago
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Senior Storage and Backup Engineer
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Senior Solution Support Engineer - Sovereign Cloud
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Closed listing

Cisco

Platform Software Engineer – AI/ML & GPU Infrastructure

Research Triangle Park, NC, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 5+ years of software engineering experience building, operating, or extending Kubernetes-based platforms or distributed systems.
Posting language: English
Posted: Oct 22, 2026

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Original job description

Archived listing. The details below describe a past opening.

The application window is expected to close on: 12/27/2026

Meet the Team

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. The Platform Engineering team builds and runs the unified control plane and Kubernetes platform that serve as the foundation of this infrastructure, owns how GPU capacity is scheduled and allocated across shared and dedicated pools, and partners closely with infrastructure, hardware, and engineering teams to turn raw GPU capacity into a reliable, self-service platform for every team that needs it.

Your Impact

As a Platform Software Engineer on the Platform Engineering team, you will design, build, and operate the control-plane and scheduling systems that make GPU infrastructure usable at scale. You will work at the intersection of distributed control planes, Kubernetes, GPU acceleration, and workload orchestration.

In this role, you will build and operate distributed systems, control-plane services, and APIs that manage multi-cluster environments, enforce tenant GPU quotas, and monitor complex training and inference workloads. Your work will blend systems software engineering, API development, and operations to maximize reliability and throughput across our AI compute fleet.

Responsibilites:

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 (checkpointing, preemption tolerance) vs. inference (latency sensitivity, multi-node placement) 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, triggers automated remediation, and helps optimize system-wide performance for training and inference workloads.
Design, build, and maintain scalable, reliable Kubernetes-based platforms (OpenShift or upstream Kubernetes) 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 Infrastructure as Code, GitOps, and CI/CD automation for the platform; participate in on-call rotation.

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
5+ years of software engineering experience building, operating, or extending Kubernetes-based platforms or distributed systems.
Strong software development proficiency in Go or Python , with hands-on experience building platform control-plane services, custom APIs, Kubernetes Controllers, Operators, or CRDs.
Hands-on experience building, configuring, or operating batch and accelerator schedulers (e.g., Kueue, Volcano, Slurm , or custom scheduler plugins) for GPU or AI/ML workloads.
Practical experience with GPU scheduling, multi-tenant GPU infrastructure, or managing workloads on accelerated compute platforms.
Hands-on experience with Infrastructure as Code (e.g., Terraform), GitOps, CI/CD deployment pipelines, and cloud-native observability tools (e.g., Splunk, Prometheus, Grafana).

Preferred Qualifications:

Familiarity with multi-cluster control plane architectures, cluster registration/federation, and large-scale tenant isolation models.
Familiarity with modern data center GPU architectures (e.g., NVIDIA H100, H200, B200/B300, or AMD Instinct accelerators) and their scheduling and placement considerations.
Familiarity with topology-aware placement, collective-communication libraries (e.g., NCCL), and gang scheduling for multi-node training clusters.
Experience supporting AI/ML infrastructure, including model serving pipelines, distributed training, workload orchestration, or MLOps platforms.
Experience building automated capacity-intake, demand-classification, or request-routing tooling (rules-based or AI-assisted) for infrastructure capacity management.
Experience developing engineering-focused developer tools, CLI utilities, or dashboards that simplify complex platform operations.
Exposure to Kubernetes control plane internals (API server, etcd, controller-manager, scheduler framework).
Experience participating in on-call rotations, incident response, and postmortem/runbook processes for production infrastructure.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $155,000.00 to $222,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and
Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$155,000.00 - $256,000.00

Non-Metro New York state & Washington state:

$138,100.00 - $227,900.00

For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

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