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2 месяца назад

Ai Data Infrastructure Engineer (Robotics)

150 000 - 350 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Data Infrastructure Engineer (Robotics): Building tools and software components to offload, store, manipulate, and provide access to robot data with an accent on managing on-premise and cloud resources. Focus on implementing optimal data transmission and storage solutions for all stages of the data pipeline from recording to neural network training.

Location: Must work 5 days/week in-office in San Jose, CA

Salary: $150,000 - $350,000 annually

Company

hirify.global is an AI Robotics company developing a general purpose humanoid designed for commercial tasks and the home.

What you will do

  • Design, build, and maintain tools and software components that offload, store, manipulate, and provide access to robot data.
  • Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
  • Implement optimal data transmission and storage solutions for all stages of hirify.global’s data pipeline from recording to neural network training.
  • Work together with AI researchers to support new kinds of data workflows.

Requirements

  • Strong software engineering fundamentals.
  • Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field.
  • Minimum of 4 years of professional, full-time experience building reliable backend systems.
  • Experience with Linux and command line tools.
  • Experience with Python.
  • Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).

Nice to have

  • Experience managing cloud infrastructure (AWS, Azure, GCP).
  • Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.).
  • Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.).
  • Experience building data annotation and dataset management tools.

Culture & Benefits

  • Total compensation package may also include additional components/benefits depending on the specific role.

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