AI & HPC Infra Engineer: GPU Compute & Cloud Automation

Prodapt ASIC services (Formerly Innovative Logic); San Jose (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Prodapt is seeking an AI & HPC Infrastructure Engineer to design, build, and operate GPU-enabled compute platforms across on-prem and cloud environments. You will automate deployments, monitor performance, and contribute to scalable, cost-effective AI/ML infrastructure for engineering and R&D teams.

You will work at the intersection of AI infrastructure, cloud platforms, and operations, enabling hybrid compute strategies and ensuring high availability for AI-driven development workflows.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related technical discipline.
• 3+ years of hands-on infrastructure engineering, platform engineering, cloud operations, or HPC experience.
• Strong Linux-based infrastructure administration and cloud platform experience (AWS/Azure/GCP).

Responsibilities

• Build, configure, and operate GPU and HPC clusters across compute, storage, and networking.
• Deploy, monitor, and optimize AI/ML workloads and HPC workloads for reliability and cost-efficiency.
• Implement IaC and automation for provisioning and operations.
• Manage multi-cloud and on-prem environments (AWS, Azure, GCP).
• Collaborate with engineering teams to enable AI-driven development workflows.
• Ensure high availability, performance tuning, and capacity planning.
• Develop monitoring, logging, and alerting solutions for platform reliability.
• Support AI services deployment, including LLM APIs and AI/agent platforms.

Skills

Linux admin

GPU/HPC infra

Kubernetes/Slurm

Automation/IaC

Public cloud ops

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Slurm

Terraform

Linux

Job description

Prodapt is seeking an AI & HPC Infrastructure Engineer to design, build, and operate GPU-enabled compute platforms across on-prem and cloud environments. You will automate deployments, monitor performance, and contribute to scalable, cost-effective AI/ML infrastructure for engineering and R&D teams.

You will work at the intersection of AI infrastructure, cloud platforms, and operations, enabling hybrid compute strategies and ensuring high availability for AI-driven development workflows.