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Tenstorrent

Designs AI chips and licenses processor cores

Field Support Engineer - AI Server Systems

Equipment Field ServiceConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedIn-person

About the Job

Requirements

  • Experience maintaining x86 servers or GPU servers.
  • Ability to troubleshoot hardware failures involving components such as power supplies, memory, storage, PCIe, and GPUs.
  • Experience operating Linux environments such as Ubuntu, RHEL, or CentOS.
  • Basic networking knowledge, including Layer 2/Layer 3, TCP/IP, DHCP, and IPMI.
  • Experience providing technical support at customer sites or responding onsite.
  • Experience documenting incident response and maintenance work.
  • Experience using diagnostic tools such as IPMItool, smartctl, and nvidia-smi.
  • Ability to read English manuals and experience communicating with overseas support desks.
  • Conversational English sufficient to handle questions and answers among engineers.
  • Japanese and English language ability.

Responsibilities

  • Maintain, inspect, and troubleshoot AI servers and related systems, including GPU clusters, storage, and network equipment.
  • Perform initial triage of server failures, onsite repairs, and component replacement.
  • Monitor system status and analyze logs using the Network Operations Center and remote monitoring tools.
  • Prepare incident reports and communicate them to relevant stakeholders when problems occur.
  • Update firmware, BIOS, and drivers.
  • Plan and conduct regular customer inspections and preventive maintenance.
  • Coordinate escalation responses with engineering and support departments.
  • Manage maintenance inventory and coordinate delivery of replacement parts.
  • Support field deployments and attend and lead installation and relocation work.

Desired Qualifications

  • Experience handling NVIDIA GPU servers such as DGX or HGX, or hardware from vendors such as Supermicro, Inspur, or Lambda.
  • Knowledge of Ethernet, InfiniBand, NVLink, and PCIe switches.
  • Data center operations and maintenance experience.
  • Basic knowledge of GPU-based deep learning or AI workloads.
  • Experience with simple automation using Linux shell scripts.
  • A standard motor vehicle driver's license.
  • Ability to negotiate in English and conduct detailed technical communications.

About the Company

Tenstorrent

Designs AI chips and licenses processor cores

Tenstorrent designs AI processors and computing systems for developers, enterprises and chip designers that want control over their hardware. Its Galaxy servers connect multiple AI processors to run language models, video generation and other workloads across larger systems. The company sells accelerator cards, workstations and servers, and licenses RISC-V CPU designs and Tensix AI cores for customers to incorporate into their own chips. Its software compilers translate models from popular machine learning frameworks into programs for Tenstorrent hardware. Founded in 2016, it operates from offices in the United States, Canada, Europe and Asia.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$2.8B
Headquarters
Santa Clara, CA
Founded
2016

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