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AMAX

GPU-accelerated servers for AI workloads

Junior System Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeFremont, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience.
  • Be a fresh graduate or have 1 year of experience working with server hardware, high-performance computing systems, or data center infrastructure.
  • Have strong experience with Linux operating systems, including Ubuntu, CentOS, or RHEL.
  • Have experience working with GPU platforms, with NVIDIA preferred, and accelerator-based computing systems.
  • Be familiar with server components, including CPUs, memory, storage, networking, and PCIe devices.
  • Have experience troubleshooting hardware and system-level issues.

Responsibilities

  • Design, configure, and deploy server and high-performance computing systems, including GPU- and AI-based computing platforms.
  • Install, configure, and maintain Linux-based operating systems and related system software.
  • Perform system bring-up, validation, and performance testing for new hardware platforms.
  • Troubleshoot hardware, firmware, and operating system issues across server and cluster environments.
  • Collaborate with engineering teams to define system specifications and evaluate hardware-software interfaces to ensure operational and performance requirements are met.
  • Analyze technical data to recommend and plan system layouts; provide technical support for sales activities, including configuration development.
  • Review and approve quotations and assist in resolving technical issues in a timely manner.
  • Work with engineering, manufacturing, and support teams to resolve system integration challenges.
  • Develop and maintain system documentation, installation procedures, and troubleshooting guides.
  • Support customer deployments, system integrations, and proof-of-concept testing as needed.
  • Monitor system performance and recommend improvements to enhance stability, efficiency, and scalability.
  • Assist in evaluating new technologies, components, and system architectures to improve company solutions.
  • Review customer system orders to verify and confirm configurations and system requirements.

Desired Qualifications

  • Knowledge of cluster environments, networking, and distributed computing.
  • Scripting experience with Bash, Python, or similar tools.
  • Experience with AI/ML infrastructure or GPU clusters.
  • Familiarity with container technologies such as Docker or Kubernetes.
  • Experience with system validation, burn-in testing, or failure analysis.
  • Exposure to high-speed networking technologies such as InfiniBand and RDMA.
  • Experience with NVIDIA GPU platforms.

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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