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Rescale

Cloud-based HPC platform for simulations

Technical Support Engineer

Customer SupportConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Arts, Bachelor of Science, or higher degree in Engineering, Computer Science, or a related field.
  • Experience using the Linux shell, preferably as a system administrator.
  • A deep understanding of basic compute technology, including storage, memory, CPU, GPU, and I/O.
  • Understanding and familiarity with high-performance computing and parallel computing, including parallel scaling, MPI, and shared memory.
  • Knowledge of basic networking concepts, including firewalls, ports, throughput, and latency.
  • Fluency in Japanese and working knowledge of English.

Responsibilities

  • Become an expert in the Rescale platform.
  • Learn and support state-of-the-art high-performance computing workflows on the cloud.
  • Provide technical support to customers.
  • Work in a growing globally distributed support team.
  • Operate in an interdisciplinary team environment with developers, engineers, business, and sales personnel.
  • Rotate on-call responsibilities as needed.

Desired Qualifications

  • Hands-on experience with parallel workflows, engineering simulations, benchmarking, high-performance computing, schedulers, and MPI.
  • Experience with shell and Python scripting.
  • Experience working with enterprise customers.
  • Experience in a customer-facing role such as customer support, customer success, or pre-sales.

About the Company

Rescale

Cloud-based HPC platform for simulations

Rescale provides a cloud-based HPC platform that lets engineers and scientists run large simulations and analyses without managing on-premises infrastructure. It operates as an HPC-as-a-service on a hybrid cloud, automating workload orchestration and integrating thousands of engineering and scientific software applications across cloud and on-premises resources. It differentiates itself through long-standing multi-cloud partnerships, deep engineering know-how from its founders, and a broad customer base across aerospace, automotive, life sciences, energy, semiconductors, and government. Its goal is to accelerate innovation by making supercomputing capabilities accessible to organizations of all sizes for faster design, testing, and AI-enabled digital R&D.

Company size
201-500
Company stage
Series D
Total funding
$299.5M
Headquarters
San Francisco, CA
Founded
2011

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