Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
120к-180к CAD/год
210к CAD280к CADмедиана330к CAD
По похожим ролям (49) ~ 280к CAD/год
На СНГ рынке: $4.2к/мес ($3.3к - $5.9к)
65
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Роль описана чётко и связана с быстрорастущей инфраструктурой для ИИ, но зарплата заметно ниже рыночного ориентира платформы, а ранняя стадия стартапа добавляет неопределённости.
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Ниже рынкаПередовой стекИнфраструктура ИИЧёткие задачиРиски стартапа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
System Software Engineer (AI): Designing communication and execution primitives that enable large-scale AI models to run efficiently across thousands of GPUs with an accent on systems programming, distributed training and inference, and software-hardware performance analysis. Focus on identifying bottlenecks, benchmarking multi-node clusters, and building foundational infrastructure for generative AI workloads.
Location: Hybrid role based in Montreal, Canada
Salary: CAD 120,000–180,000 per year base salary, plus equity, benefits, and RRSP
Company
hirify.global is a startup building foundational technology for performance, scalability, and resiliency in large-scale AI data center clusters.
What you will do
Design and implement communication and execution primitives for large-scale AI models running across thousands of GPUs.
Collaborate across the software stack to shape foundational infrastructure for next-generation AI models.
Analyze the software-hardware interface to identify and resolve performance bottlenecks in distributed training and inference.
Conduct performance benchmarking and characterization on multi-node clusters.
Requirements
Strong proficiency in C++ and Python.
Deep understanding of systems programming fundamentals, including memory management, concurrency, and operating system internals.
Proficiency in a Linux development environment.
Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field.
Ability to work in a hybrid role based in Montreal, Canada.
Nice to have
Experience with GPU programming using CUDA and performance optimization for parallel architectures.
Familiarity with distributed AI frameworks such as PyTorch, JAX, or DeepSpeed.
Familiarity with inference engines such as vLLM, SGLang, Dynamo, or TRT-LLM.
Hands-on experience with large-scale cluster orchestration and telemetry tools.
Culture & Benefits
Work alongside experienced builders and operators developing early-stage foundational technology.
Collaborate across remote and on-site locations in the United States and Canada.
Meaningful equity, benefits, and RRSP contributions.
Environment centered on trust, integrity, respect, shared responsibility, and professional growth.
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