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Software Engineer (AI)

325 000 - 490 000$
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

Software Engineer (AI): Optimize and build performant, low-latency, high-availability AI model inference systems for production and research environments with an accent on GPU utilization, distributed systems, and inference performance. Focus on designing and implementing solutions to improve throughput, latency, and system stability at scale.

Location: San Francisco, United States (onsite)

Salary: $325K – $490K + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity by pushing AI capabilities and safely deploying them through products.

What you will do

  • Collaborate with ML researchers, engineers, and product managers to bring latest AI technologies into production.
  • Introduce new techniques and architectures to improve model inference performance, latency, and efficiency.
  • Build tools to identify bottlenecks and instability sources and implement solutions.
  • Optimize code and hardware utilization on Azure VMs and GPUs.
  • Support advanced research through engineering contributions.

Requirements

  • Location: Must be onsite in San Francisco, United States
  • At least 5 years of professional software engineering experience.
  • Familiarity or ability to quickly learn PyTorch, NVidia GPU software stacks (CUDA, NCCL), HPC technologies (InfiniBand, MPI, NVLink).
  • Experience with architecting, building, and debugging production distributed systems, especially performance-critical ones.
  • Strong problem ownership and self-direction.
  • English: Proficient (B2 or higher)

Culture & Benefits

  • Equal opportunity employer committed to diversity and inclusion.
  • Competitive compensation with salary and equity.
  • Support for applicants with disabilities and reasonable accommodations.
  • Focus on safety and ethical AI deployment.

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