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3 дня назад

Software Engineer (AI)

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

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TL;DR
Software Engineer (AI): Designing and optimizing software for inference-focused AI chips, from low-level drivers and APIs to high-level applications and frameworks, with an accent on embedded systems, firmware, and high-performance computing. Focus on solving complex architecture, scalability, fault-tolerance, and distributed-systems challenges while co-developing AI infrastructure across hardware and software.

Location: On-site in Taipei

Company

hirify.global develops inference-focused AI hardware and software, co-designing chips, racks, software, and manufacturing systems for high throughput and low latency.

What you will do

  • Design and optimize software for AI chips and very large AI models.
  • Develop systems across the full stack, from low-level drivers and APIs to applications and frameworks.
  • Collaborate with hardware and software engineers on frontier AI infrastructure.
  • Review code and provide feedback on quality, testability, efficiency, and engineering practices.
  • Contribute to AI solutions for natural language processing, reasoning automation, and generative media.

Requirements

  • Strong programming skills in C++, Rust, and/or Python.
  • Experience with embedded systems, high-performance computing, or distributed systems.
  • Deep understanding of computer architecture and operating systems.
  • Bachelor’s degree or equivalent practical experience.
  • At least 8 years of software development experience, including data structures and algorithms; experience launching and testing software products, software design and architecture, firmware, and embedded architectures.
  • Experience with I/O technologies such as I2C, SPI, PCIe, and DRAM, plus scalability, fault tolerance, and consistency concepts.

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related field.
  • Technical leadership experience directing project teams and setting technical direction.
  • Experience with Java or Go and resolving customer-related issues.
  • Experience solving ambiguous, high-impact problems and strong verbal and written communication skills.

Culture & Benefits

  • Competitive compensation with generous equity packages.
  • Comprehensive insurance coverage and other benefits.
  • Unlimited compute budget subject to ROI justification.
  • Fully in-person engineering work across the San Jose and Taipei offices.
  • Engineering and research are closely integrated, with cross-disciplinary collaboration expected.

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