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2 месяца назад

Software Engineer, AI Compiler (AI)

100 000 - 500 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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 Compiler (MLIR): Leading the development of TT-Forge, an MLIR-based compiler for high-performance AI hardware with an accent on graph transformations, lowering passes, and kernel-level optimizations. Focus on scaling compiler infrastructure, optimizing developer workflows, and ensuring seamless integration between AI frameworks and custom chip architectures.

Location: Hybrid based in Austin, TX

Salary: $100k - $500k

Company

hirify.global is building a high-performance AI platform including RISC-V CPUs and cutting-edge AI compiler technology to redefine computing paradigms.

What you will do

  • Lead the development of TT-Forge, an MLIR-based compiler.
  • Manage a team focused on scaling graph transformations, lowering passes, and kernel-level optimizations.
  • Collaborate with hardware, software, and ML teams to ensure the compiler supports real-world performance and deployment needs.
  • Take technical ownership of roadmap priorities, planning, and team mentorship.
  • Identify bottlenecks, debug performance issues, and improve developer workflows across the stack.

Requirements

  • Strong fluency in C++ and Python.
  • Hands-on experience with MLIR, LLVM, or related infrastructure, including dialect design or optimization passes.
  • Deep understanding of modern AI frameworks like PyTorch, TensorFlow, or JAX.
  • Proven track record of building compilers or similar systems in fast-paced engineering environments.
  • Must be eligible to access U.S. export-controlled technology (EAR compliance).
  • Location: Must be based in or able to work hybrid in Austin, TX.

Culture & Benefits

  • Highly competitive compensation package and benefits.
  • Opportunity to work on cutting-edge RISC-V CPU and AI hardware architectures.
  • Collaborative environment that values curiosity and solving hard technical problems.
  • Exposure to advanced internal tooling like TT-Explorer for human-in-the-loop optimization.

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