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2 дня назад

Engineering Manager (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Engineering Manager (AI): Lead and scale the Inference Model Scaling engineering team responsible for ML model compilation, optimization, and high-performance kernel development on Cerebras hardware with an accent on technical leadership, organizational strategy, and cross-functional collaboration. Focus on defining technical roadmaps, hiring and mentoring engineers, and driving delivery of cutting-edge AI inference solutions.

Location

Location: Sunnyvale, CA or Toronto, Canada (Hybrid)

Company

hirify.global Systems builds the world's largest AI chip, delivering industry-leading training and inference speeds that transform AI applications and user experience.

What you will do

  • Define technical roadmap and strategy for the Inference Model Scaling team.
  • Lead multiple engineering teams and establish engineering standards.
  • Hire, mentor, and grow a high-performing engineering organization.
  • Collaborate cross-functionally with cloud, ML, hardware, and product teams.
  • Drive delivery and execution of ML compiler and high-performance kernel projects.
  • Influence hardware/software co-design through model enablement insights.

Requirements

  • Location: Must be based in or able to work from US or Canada offices
  • BS, MS, or PhD in Computer Science, Computer Engineering or related field.
  • 12+ years building compiler, ML systems, or infrastructure software.
  • 5+ years leading engineering teams.
  • Experience with modern compiler infrastructure (LLVM, MLIR, XLA, TVM, Torch FX, or similar).
  • Strong skills in Python and C++ and delivering production-quality software.

Nice to have

  • Experience building compiler frontends for AI accelerators.
  • Familiarity with PyTorch, JAX, TensorFlow, or ONNX.
  • Experience with LLM inference or training systems and distributed compilation.
  • Experience working with hardware architects and leading teams through rapid growth.

Culture & Benefits

  • Work on breakthrough AI platform beyond GPU constraints.
  • Opportunity to publish and open source cutting-edge AI research.
  • Join a fast-growing startup with job stability and vitality.
  • Enjoy a simple, non-corporate work culture respecting individual beliefs.

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