Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$200к-250к/год
$180к$200кмедиана$230к
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Чётко очерченная роль в области симуляции AI-оборудования даёт серьёзную техническую глубину, а зарплата соответствует рынку. При этом стоит учитывать работу в стартапе и обязательное присутствие в офисе.
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Ритм стартапаЗарплата по рынкуПередовой доменПонятная рольСовременный стек
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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