AI/HPC System Engineer
Listed on 2026-09-12
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IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer, SRE/Site Reliability, IT Infrastructure
This position requires - Clear Background, Drug Test, and Education Check. Must be authorized to work in the US for any employer without Sponsorship. (Principal Only! No Corp to Corp)
Contract Duration
: 6 months contract
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.
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
- 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
We encourage Minorities, Women, Protected Veterans and Disabled individuals to apply for all positions that they may be qualified for. We maintain a drug-free workplace and perform pre-employment substance abuse testing and background checks.
Position Title
: AI/HPC System Engineer
Location:
San Jose, CA
Pay Rate
: $75-$85
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