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4 дня назад

New Graduate Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Canada
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
New Graduate Software Engineer (AI): Building and maintaining infrastructure for testing, operating, simulating, and evaluating an AI-accelerated software stack with an accent on cloud and datacenter automation, CI/CD, and scalable services. Focus on designing DevOps workflows, troubleshooting distributed systems, and monitoring the quality and performance of software running on the Wafer Scale Engine.

Location: Hybrid, Toronto office, Canada

Company

hirify.global builds AI computing hardware and software infrastructure centered on the Wafer Scale Engine, supporting high-speed model training and inference.

What you will do

  • Develop and maintain infrastructure for building, testing, operating, simulating, and evaluating the hirify.global software stack.
  • Design efficient and scalable workflows for automation in cloud environments and datacenters.
  • Work across advanced hardware interfaces, low-level infrastructure, distributed systems, compilers, and ML frameworks.
  • Monitor software quality and performance on the Wafer Scale Engine.
  • Collaborate with software development and product management teams to solve infrastructure and reliability challenges.

Requirements

  • Currently enrolled in a university program in Computer Science, Computer Engineering, or a related discipline.
  • Experience in software development environments.
  • Proficiency in Python, shell scripting, and Makefiles.
  • Strong end-to-end triage, debugging, and troubleshooting skills.
  • Experience with Jenkins or other CI/CD platforms, Docker, Kubernetes, and container technologies.
  • Experience building services at scale on AWS or other cloud platforms.

Nice to have

  • UI development experience.

Culture & Benefits

  • Opportunity to build an AI platform beyond the constraints of GPUs.
  • Work with one of the fastest AI supercomputers in the world.
  • Access to cutting-edge AI research, including publishing and open-source opportunities.
  • Job stability combined with startup vitality.
  • Non-corporate culture focused on individual beliefs, inclusion, learning, and growth.

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