Overview
Remote
$50 - $55
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Able to Provide Sponsorship
Skills
Machine Learning Operations (ML Ops)
Optimization
PMP
Performance Management
Management
IT Project Management
Job Boards
Leadership
Forecasting
GPU
Good Clinical Practice
Google Cloud Platform
LinkedIn
Machine Learning (ML)
Dashboard
Data Science
Demand Planning
Documentation
Finance
Collaboration
Communication
Communication Planning
Continuous Improvement
Agile
Amazon Web Services
Budget
Capacity Management
Cloud Computing
DICE
HPC
Microsoft Azure
Microsoft Excel
Microsoft Power BI
Modeling
Performance Metrics
Preventive Maintenance
Roadmaps
Procurement
Scrum
Project Management
Reporting
Resource Allocation
Visualization
Resource Planning
SEO
SQL
Stakeholder Management
Tableau
Training
Graphics Processing Unit
Job Details
Job Title: Project Manager GPU Capacity & Planning
Location: Remote (USA)
Duration: 12 Months
Client: Cisco
Job Summary:
We are seeking an experienced Project Manager with a strong background in GPU compute capacity planning and forecasting to lead infrastructure scaling and resource optimization initiatives. The ideal candidate will collaborate cross-functionally with engineering, data science, ML, and infrastructure teams to manage GPU demand planning, usage analysis, and procurement forecasting.
Key Responsibilities:
Lead cross-functional GPU planning projects from concept to execution.
Develop and track GPU demand forecasts and capacity models.
Coordinate with infrastructure and ML teams to align compute requirements with planning roadmaps.
Manage project timelines, deliverables, risks, and communication plans.
Collaborate with finance, procurement, and ops teams for budget tracking and GPU resource procurement.
Define and maintain dashboards using Power BI, Tableau, or similar tools for utilization visibility.
Track cloud-based (AWS, Azure, Google Cloud Platform) and on-prem GPU consumption patterns.
Communicate GPU availability and usage trends to stakeholders in engineering and leadership.
Drive continuous process improvement in GPU planning and resource allocation strategies.
Required Skills & Experience:
5+ years of experience in technical project management, ideally in infrastructure or compute resource planning.
1+ years of hands-on experience with GPU demand & capacity planning (e.g., ML workloads, inference, HPC).
Strong understanding of GPU workloads and compute patterns in ML training/inference.
Experience working with forecasting tools, capacity models, and performance metrics.
Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and on-prem GPU environments.
Strong skills in Excel, SQL, and visualization/reporting tools like Power BI or Tableau.
Excellent communication, stakeholder management, and documentation skills.
PMP certification or Agile/Scrum experience is a plus.
Keywords for Dice/LinkedIn/Job Boards (SEO):
GPU Planning, Capacity Modeling, ML Infrastructure, Compute Forecasting, Power BI, Tableau, SQL, AWS, Azure, Google Cloud Platform, Project Manager, Infrastructure PM, ML Ops, Resource Optimization, GPU Forecasting, Stakeholder Management.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.