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3 часа назад

Senior Software Engineer, Infrastructure (Robotics)

100 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
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
Senior Software Engineer, Infrastructure (Robotics): Building and maintaining deployment infrastructure and backend services for real-world robotic products with an accent on reliability, machine learning integration, and system architecture. Focus on designing model training infrastructure, AI developer tools, metrics and logging systems, and debugging software on robot hardware.

Location: San Mateo, California, United States

Base salary: $100,000–$300,000 USD per year

Company

hirify.global develops general-purpose robotic intelligence that adapts to unseen scenarios using data-driven machine learning.

What you will do

  • Architect, build, and maintain deployment software infrastructure and backend services for robotic products.
  • Develop model training infrastructure, AI developer tools, and metrics dashboards.
  • Lead the development of reliable software systems with robust testing, metrics, and logging.
  • Write and review code, maintain documentation, create capacity plans, and debug software on robot hardware.
  • Collaborate with machine learning, deployment, testing, and security engineers on technical roadmaps and system architecture.
  • Participate in an on-call rotation to maintain system reliability and resolve incidents quickly.

Requirements

  • Bachelor’s, master’s, or higher degree in computer science, robotics, engineering, or a related field, or equivalent practical experience.
  • At least 3 years of industry experience.
  • Proficiency in Python, C++, or Java.
  • Experience configuring and maintaining web servers, load balancers, relational databases, storage systems, and messaging systems.
  • Knowledge of Linux fundamentals, memory management, and the kernel.
  • Experience with enterprise security and learning new software, frameworks, and APIs.

Culture & Benefits

  • Work on robotic intelligence intended for deployment in real-world products.
  • Collaborate with engineers across machine learning, deployment, testing, and security.
  • Contribute to technical roadmaps and product and system architecture direction.

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