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Added 21 mins ago
Senior UX Design Technologist
United States - Genesys Cloud Services, Inc.
TX · IN · CA · NC
As a Senior UX Design Technologist, you combine strong design expertise with technical fluency and AI capabilities to create thoughtful, intuitive, and high-quality workflows and…
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Partner Sales Manager, Systems Integrators
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Senior ABM Manager
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Lead Forward Deployed Engineer, ServiceNow
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Senior Customer Success Account Manager
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- $106,400 to $222,600 USD / year
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AWS Cloud Architect (US/LATAM)
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As a Senior AWS Cloud Solutions Architect, you will be the technical lead on our most complex engagements, from assessment and mobilization to large-scale migration and modernization. You…
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- $116,150 to $182,400 USD / year
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Senior Manager, Engineering
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…enrollment platform, and enterprise AI tooling. The role acts as the technical counterpart to our engineering partners and builds a team that can take on work Prosci has historically…
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Chief of Staff (AI-Enabled CEO Operations Partner)
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The success of our company starts with our people. Newell Brands’ Summer Internship Program (CAMP- Career Acceleration and Mentorship Program) is an important element of our strategy to…
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2027 Newell Brands Intern- eCommerce
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- $21 to $26 USD / hour
The success of our company starts with our people. Newell Brands’ Summer Internship Program (CAMP- Career Acceleration and Mentorship Program) is an important element of our strategy to…
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Senior Software Development Manager , Access Management Services
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Sr Manager HRBP, Commercial - DTC & Sales
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Principal Demand Strategy Manager
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United States
- $148,700 to $223,100 USD / year
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Added 4 days ago
Senior Partner Manager, Data & AI Security
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Senior Manager, Infrastructure Operations and Compliance
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Cloudflare is looking for a Senior Manager to lead a unified Infrastructure Operations function spanning physical network reliability, operational security, and global regulatory compliance…
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Manager, Digital Acceleration
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Long Beach, CA
- $125,400 to $172,780 USD / year
The Manager, Digital Acceleration leads strategic initiatives that span service design, business strategy, and solution delivery. This role is accountable for translating unmet needs and…
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Supervisory AI/ML Engineer
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Washington, DC
- $169,279 to $197,200 USD / year
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Added 5 days ago
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Senior Manager, Event & Partner Program Operations
Microsoft
WA · CA · NY · Redmond, WA · Seattle, WA · Mountain View, CA · San Francisco, CA · Redmond · Seattle · Mountain View · San Francisco · New York
- $106,400 to $222,600 USD / year
As Senior Manager, Event & Partner Program Operations, you will build the operational foundation that connects Microsoft Advertising’s event portfolio and partner programs to consistent…
Added 6 days ago
Bus Development Manager, Scale Sales, CSC, CSC SMB
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Strategy & Planning Manager
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Added 6 days ago
Senior Platform Software Engineer – AI/ML & GPU Infrastructure
Cisco Systems, Inc.
San Jose, CA · RTP, NC
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…
Added 8 days ago
Software Development Manager, Digital Acceleration
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Principal PMT - Personalization ML Platform, Prime Video Personalization & Discovery
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Cisco Systems, Inc.

Senior Platform Software Engineer – AI/ML & GPU Infrastructure

San Jose, CA, United States
RTP, NC, United States

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Job details

Apply by: Nov 16, 2026
Posting language: English
Posted: Oct 22, 2026

Original job description

The application window is expected to close on: 11/29/2026

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 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. You will work at the intersection of distributed control planes, Kubernetes, GPU acceleration, and workload orchestration. In this foundational role, you will architect and develop distributed systems, control-plane services, and APIs that manage multi-cluster environments, enforce tenant GPU quotas, and scale complex training and inference workloads. You will combine deep systems software engineering, API design, and operational leadership to raise technical standards, mentor engineers, and maximize reliability and throughput across our AI compute fleet.

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 (checkpointing, preemption tolerance) vs. inference (latency sensitivity, multi-node placement) 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 (OpenShift or upstream Kubernetes) 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 (e.g., Kueue, Volcano, Slurm, or custom scheduler plugins) 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 (e.g., Terraform), GitOps, CI/CD, and cloud-native observability tools (e.g., Splunk, Prometheus, Grafana).

Preferred Qualifications:

Experience scaling Kubernetes control plane internals (API server, etcd, controller-manager, scheduler framework) or multi-cluster federation at large node and object counts.
Familiarity with modern data center GPU architectures (e.g., NVIDIA H100, H200, B200/B300, or AMD Instinct accelerators) and their scheduling, placement, and interconnect considerations (NVLink, InfiniBand).
Familiarity with topology-aware placement, collective-communication libraries (e.g., NCCL), and gang scheduling for large-scale multi-node training clusters.
Experience supporting AI/ML infrastructure, including model serving pipelines, distributed training, workload orchestration, or MLOps platforms.
Low-level systems engineering experience (e.g., Linux kernel tuning, cgroups, or eBPF).
Experience leading ambiguous platform initiatives end-to-end and representing platform architecture in cross-team design review forums.
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 $167,700.00 to $245,200.00 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:

$167,700.00 - $282,000.00

Non-Metro New York state & Washington state:

$149,100.00 - $250,900.00

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.

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More about this job

Skills

ML
Team building
Kubernetes
Scheduling
API development
Leadership
Onboarding
Red Hat OpenShift
Go
Python
Infrastructure as code
CI/CD
Incident response
Computer science
Computer engineering
Software development
IBM Terraform
Splunk
Prometheus
Grafana
Communication skills
Linux
Create solutions to problems
Work as a team
Sales

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