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AMAX

GPU-accelerated servers for AI workloads

AI Infrastructure Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeFremont, CA, USA$145k - $170k /yrIn-person

About the Job

Requirements

  • Solid experience with Infrastructure-as-Code and Configuration-as-Code.
  • Real-world on-premises/datacenter operations experience; this is explicitly not a cloud-native AWS, Google Cloud Platform, or Microsoft Azure role, though the environment is designed to feel cloud-like.
  • Working knowledge of networking fundamentals, including VLANs, routing, firewalls, and load balancers.
  • Hands-on experience with containerization and orchestration using Docker and Kubernetes.
  • Proficiency with Git and standard version control workflows.
  • Development and scripting skills sufficient to build internal tooling and automation, not just run existing playbooks.
  • Comfort with hands-on datacenter/hardware work, including cabling, rack/stack, and hardware troubleshooting, in addition to infrastructure engineering.

Responsibilities

  • Design, build, and operate on-premises infrastructure that behaves like a cloud environment for internal teams, including AI/ML workloads.
  • Own datacenter and infrastructure operations across compute, storage, networking, and the automation layered on top.
  • Build and maintain Infrastructure-as-Code using Terraform (Terragrunt), Ansible, and related tools.
  • Deploy, secure, and operate the HashiCorp stack (Vault, Boundary) alongside identity and access via Keycloak.
  • Build and maintain observability with Prometheus, Grafana, and Alertmanager.
  • Deploy and manage containerized workloads via Docker and Kubernetes.
  • Design and maintain networking infrastructure, including VLANs, routing, firewall rules, and load balancers.
  • Write scripts and tools, and contribute code where useful, to automate operational toil.
  • Provide general datacenter support for customers colocated in the HostMax datacenter, including cabling, hardware swaps, rack/stack work, and basic troubleshooting.
  • Participate in a business-hours (Monday–Friday) on-call rotation for customer and infrastructure support.
  • Participate in an SDLC/Scrum-based workflow, using Jira and Confluence for planning and documentation.
  • Help define standards, runbooks, and best practices as the team grows.
  • Develop and deploy on-premises AI infrastructure workloads, including GPU scheduling, model-serving infrastructure, and self-hosted AI tooling.

About the Company

AMAX

GPU-accelerated servers for AI workloads

AMAX designs and builds high-performance GPU-accelerated servers for enterprises. Its products combine NVIDIA GPUs with optimized server hardware and software to accelerate AI, machine learning, and other compute-intensive workloads, delivered as customized configurations and integrated solutions. The company started as a maker of custom PCs, pivoted to servers when Dell disrupted the market, and then focused on GPU-enabled computing after recognizing NVIDIA’s shift from gaming to datacenters. AMAX differentiates itself through early partnerships with NVIDIA, tailored engineering for large customers, and a track record of delivering bespoke server solutions, which attracted strategic investment from Foxconn and helped it grow from a private Silicon Valley shop into a public company on the Taiwan Stock Exchange in 2023. Its overall goal is to enable scalable AI and high-performance computing for enterprise clients, serving as a trusted provider of purpose-built AI server infrastructure.

Company size
501-1,000
Company stage
IPO
Headquarters
Fremont, CA
Founded
1979

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