AI/HPC System Engineer

Protingent
  • San Jose, CA
  • $80–$90 Per Hour
  • Quick Apply
3 days ago

Job Description

Job Title: AI/HPC System Engineer

Position Description: Protingent Staffing has an exciting contract AI/HPC System Engineer with our client located in San Jose, CA.

Job Description:
  • We are hiring an AI/HPC System Engineer to build and operate the compute infrastructure supporting our HPC and AI development workloads.
  • This role deploys, automates, and maintains GPU clusters across on-premise and cloud environments, delivering reliable, scalable, and cost-efficient compute for engineering and R&D teams.

Job Responsibilities:
  • GPU/HPC infrastructure: Build, configure, and operate GPU and HPC clusters across compute, storage, and networking; support capacity planning, performance tuning, and optimization for AI training, inference, and compute-intensive workloads
  • Hybrid cloud infrastructure: Deploy and maintain compute environments spanning on-premise and public cloud, and contribute to modernization and scaling initiatives for HPC/AI infrastructure
  • Automation and observability: Implement infrastructure-as-code, provisioning automation, monitoring, and alerting, and drive improvements in resource utilization and efficiency
  • AI platform support: Deploy, integrate, and support LLM APIs, coding assistants, and AI/agent platforms used by internal engineering teams
  • Operations and collaboration: Troubleshoot and resolve infrastructure issues, document standards and runbooks, and work with relevant stakeholders to support day-to-day IT operations

Job Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 3+ years of hands-on experience in IT infrastructure, cloud, platform engineering, or HPC
  • Hands-on experience with Linux-based infrastructure and public cloud environments such as AWS, Azure, or GCP
  • Experience deploying or operating GPU/HPC environments, including workload scheduling or orchestration platforms such as Kubernetes or Slurm
  • Experience with infrastructure automation, monitoring, troubleshooting, and performance optimization
  • Solid understanding of compute, storage, networking, and container technologies; experience with AI/ML infrastructure or workloads is a plus
  • Strong collaboration and communication skills, with the ability to work across engineering and IT teams

Job Details:
  • Job Type: Contract
  • Pay Range: $80-$90/hr.
  • Location: San Jose, CA (Onsite).

Benefits Package: Protingent offers competitive salaries, insurance plan options (HDHP plan or POS plan), education/certification reimbursement, pre-tax commuter benefits, Paid Time Off (PTO), and an administered 401k plan.

About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation — from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We’re passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.

Numbers & Facts

LocationSan Jose, CA
Salary$80–$90 Per Hour

Skills

  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Automationunmatched
  • Capacity and Performance Managementunmatched
  • Cloud Computingunmatched
  • Communication Skillsunmatched
  • Computer Scienceunmatched
  • Computer Systemsunmatched
  • Customer Support/Serviceunmatched
  • Documentation Standardsunmatched
  • Energy Efficiencyunmatched
  • GCP (Good Clinical Practices)unmatched
  • GPU (Graphics Processing Unit)unmatched
  • Hybrid Cloudunmatched
  • Identify Issuesunmatched
  • Information Technology & Information Systemsunmatched
  • Linux Operating Systemunmatched
  • Microsoft Windows Azureunmatched
  • Performance Tuning/Optimizationunmatched
  • Problem Solving Skillsunmatched
  • Process Improvementunmatched
  • Public Cloudunmatched
  • Research & Development (R&D)unmatched
  • Resource Utilizationunmatched
  • Software Engineeringunmatched
  • Systems Engineeringunmatched
  • Team Playerunmatched

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