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3 часа назад

AI Infrastructure Engineer (LLM)

250 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
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
AI Infrastructure Engineer (LLM): Optimizing large language model inference stacks for production with an accent on low-level performance tuning, CUDA kernel analysis, and serving architecture design. Focus on scaling inference throughput and latency for customer-facing AI workloads.

Location: On-site in San Francisco, CA or Sunnyvale, CA

Compensation: $250,000–$300,000 + Bonus + Restricted Stock Units

Company

hirify.global is a vertically integrated AI infrastructure company building the future of energy-efficient, high-performance AI compute.

What you will do

  • Design and optimize serving architectures for LLMs, including prefill and decode disaggregation.
  • Profile and tune inference stacks from frameworks like vLLM and SGLang down to the CUDA kernel level.
  • Partner with customer engineering teams to tailor deployments to specific traffic patterns and latency targets.
  • Take workloads from early proof of concept to fully monitored, high-performance production services.
  • Experiment with optimization methods to improve throughput, latency, and cost-efficiency.

Requirements

  • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
  • Hands-on experience shipping production code in Python or C++.
  • Familiarity with LLM serving frameworks such as vLLM or SGLang.
  • Strong understanding of GPU architecture and performance profiling.
  • Experience with AI/ML pipelines and deploying models in production.
  • Strong communication skills for explaining technical concepts to customers.

Nice to have

  • Experience with CUDA or comparable low-level technologies.
  • Strong command of software engineering fundamentals.
  • Experience with Docker and Kubernetes.
  • Prior work in customer-facing AI/ML roles.

Culture & Benefits

  • Competitive compensation including equity and Restricted Stock Units.
  • Comprehensive health, dental, and vision insurance with HSA contributions.
  • 401(k) retirement plan with up to 4% company match.
  • Paid parental leave, disability insurance, and life insurance.
  • Professional development and tuition reimbursement programs.
  • Daily meals allowance and commuter benefits.

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