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1 день назад

Supercomputing Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Supercomputing Intern (AI): Designing, developing, and deploying ML system software for rack-scale systems with an accent on network performance, telemetry pipelines, and system health analysis. Focus on provisioning software frameworks, validating hardware, and maintaining secure, performant infrastructure for data-center-scale inference workloads.

Location: On-site at the office in San Jose, California, United States

Company

hirify.global develops frontier AI inference infrastructure by co-designing chips, racks, software, and manufacturing systems.

What you will do

  • Design, develop, and deploy ML system software for rack-scale supercomputing systems.
  • Improve network performance and create and process telemetry pipelines.
  • Analyze system-level health and performance for data-center-scale ML workloads.
  • Deploy and provision software frameworks and support hardware validation.
  • Maintain secure and performant systems for inference-focused AI infrastructure.

Requirements

  • Progress toward a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related technical field.
  • Proficiency in C, C++, or Rust.
  • Proficiency in Python.
  • Strong fundamentals in data structures and algorithms.
  • Strong understanding of low-level software engineering and hardware/software co-design.
  • Excellent communication and collaboration skills.

Nice to have

  • Experience with Linux internals, kernel development, or driver debugging.
  • Experience with hardware diagnostics or interpreting hardware logs.
  • Exposure to server virtualization or CI/CD pipelines.
  • Experience with Rust or embedded development.

Culture & Benefits

  • 12-week paid internship.
  • Generous housing support for candidates relocating to San Jose.
  • Daily lunch and dinner provided at the office.
  • Direct mentorship from industry leaders and experienced engineers.
  • Fully in-person work across engineering and research disciplines.

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