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4 дня назад

Software Engineer (AI)

200 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
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
Software Engineer (AI): Designing, developing, and testing simulations for custom AI inference hardware with an accent on hardware-software co-design, simulation accuracy, and debugging tools. Focus on integrating simulated chips with hosts and drivers, validating multi-chip scaling, and supporting early software development.

Location: On-site in San Jose, United States; fully in-person team. Relocation support is available for those moving to San Jose.

Estimated base salary: $200K–$250K per year, plus equity.

Company

hirify.global builds custom hardware, software, racks, and manufacturing systems for frontier AI inference, with a focus on throughput and latency.

What you will do

  • Design, develop, maintain, and test simulations of custom hardware, ensuring accuracy, efficient debugging, and strong performance.
  • Influence architectural decisions through design reviews and hardware-software co-design.
  • Create and maintain test plans and collaborate with hardware teams to validate documentation.
  • Build tools that debug simulations and enable developers to debug software running on the simulator.
  • Implement simulations of on-chip modules and integrate simulated chips with simulated hosts such as QEMU.
  • Support kernel driver development, host software testing, multi-chip scale-out and scale-up validation, and debugging of early software deliverables.

Requirements

  • Proficiency in C/C++.
  • Strong understanding of low-level software engineering.
  • Strong understanding of hardware engineering.
  • Excellent communication and collaboration skills.

Nice to have

  • Experience developing hardware or system simulations, including SystemC, gem5, QEMU, or custom frameworks.
  • Experience with custom ML hardware accelerators such as Google TPU.
  • Experience with firmware, kernel, and driver development, including Linux or FreeRTOS.
  • Experience with hardware development and verification.
  • Experience with multiprocessing and multithreading.
  • Familiarity with bit-accurate numerics modeling.
  • Experience with performance profiling and simulation-code optimization.
  • Proficiency with Python for test harness development, Bazel, and Git.

Culture & Benefits

  • Fully in-person work in San Jose, with collaboration across engineering, research, and technical disciplines.
  • Medical, dental, and vision packages with generous premium coverage.
  • $500 monthly credit for waiving medical benefits.
  • $2,000 monthly housing subsidy for employees living within walking distance of the office.
  • Relocation support for moving to San Jose.
  • Wellness benefits, daily lunch and dinner at the office, and an unlimited compute budget subject to ROI justification.

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