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3 дня назад

Software Engineer (Logs Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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

Software Engineer (Logs Infrastructure): Designing and developing high-performance logging systems to capture, encode, and transmit critical autonomous vehicle data with an accent on system-level software and cloud-based processing pipelines. Focus on building secure data transmission services and optimizing storage workflows to enable large-scale data analysis for self-driving technology.

Location: Must be based in Austin, TX. Onsite role, no remote options available. Candidates must be authorized to work in the U.S.

Company

hirify.global is a company developing cutting-edge autonomous driving technology, including self-driving cars and delivery robots.

What you will do

  • Design, develop, and maintain logging software for autonomous driving systems.
  • Build system services for secure data transmission from vehicles to the cloud.
  • Develop backend services for controlling data delivery and processing workflows.
  • Optimize large-scale data storage and cloud processing pipelines.
  • Participate in the architecture design and implementation of the data platform.

Requirements

  • 3+ years of experience in system-level software development.
  • Proficiency in Linux-based systems for x86 and embedded devices.
  • Proficiency in Python, C++, or Go.
  • Solid understanding of distributed systems, data storage, and large-scale data processing.
  • Experience with backend development and cloud services (AWS).
  • Must be authorized to work in the U.S. (no visa sponsorship provided).

Nice to have

  • Knowledge of Linux distribution management (Ubuntu, NixOS).
  • Familiarity with DevOps practices (CI/CD, GitHub, AWS, Kubernetes).
  • Experience with software system security principles.

Culture & Benefits

  • Work on critical infrastructure for autonomous mobility at scale.
  • Engagement with complex, cross-functional engineering challenges.
  • Opportunity to influence the core data platform architecture of an advanced robotics company.

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