AI/HPC System Engineer

San Jose, CA, US • Posted 14 hours ago • Updated 2 minutes ago
Full Time
On-site
Company Branding Image
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Storage
  • Computer Networking
  • Capacity Management
  • Optimization
  • Training
  • IaaS
  • Provisioning
  • IT Operations
  • Computer Science
  • IT Infrastructure
  • Linux
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • GPU
  • HPC
  • Scheduling
  • Orchestration
  • Kubernetes
  • Performance Tuning
  • SAN
  • Artificial Intelligence
  • Machine Learning (ML)
  • Communication
  • Collaboration

Summary

Job Requirements

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

RequirementsQualifications:

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 Google Cloud Platform
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
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.
  • Dice Id: xorca001
  • Position Id: XAAXAAGBP100469EXTERNALENIN
  • Posted 14 hours ago

Company Info

About Xoriant Corporation

Xoriant is a Sunnyvale, CA headquartered digital engineering firm with offices in the USA, Europe, and Asia. From Tech Startups to Fortune 100 Enterprises, we enable innovation, accelerate time to market, and ensure client competitiveness across industries. Across all our focus areas – platform engineering, cloud, data & and AI, and Security – every solution we develop benefits from our product engineering DNA and culture of innovation. It also includes successful methodologies, framework components, and accelerators for rapidly solving critical client challenges. For 30 years and counting, we have taken great pride in the longlasting, deep relationships we have with our clients.

For further information about Xoriant, please visit our website

About_Company_One
Create job alert
Never miss an opportunity! Create an alert based on the job you applied for.