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3 дня назад

Engineering Technical Lead Manager (AI)

160 000 - 275 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/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
Engineering Technical Lead Manager (AI) (C++/CUDA/ML kernels): Leading a kernel engineering team while designing and optimizing high-performance compute kernels for specialized AI hardware with an accent on parallelism, SIMD, and hardware-software co-design. Focus on managing engineers, implementing ML kernels, improving diagnostic tools, and collaborating with ML Research and Hardware Engineering on next-generation AI architectures.

Location: Mountain View, United States; onsite role

Salary: $160,000–$275,000 for early career, $175,000–$400,000 for mid career, or $250,000–$600,000 for senior career, plus equity

Company

hirify.global develops vertically integrated hardware and software systems for training and running large machine-learning workloads for AGI.

What you will do

  • Manage, mentor, and grow a team of kernel engineers and software developers.
  • Set technical direction and contribute code as an active hands-on engineering leader.
  • Design and optimize compute kernels that interface directly with specialized AI hardware.
  • Partner with ML Research to improve output and diagnostic tools.
  • Collaborate with Hardware Engineering on next-generation AI architectures and software integration.

Requirements

  • Must work onsite in Mountain View, United States.
  • At least 2 years of engineering team management experience and 7 years working directly within engineering teams.
  • Bachelor’s degree in Computer Science or equivalent experience.
  • Experience optimizing software for specialized hardware using parallelism, SIMD, C, assembly-level optimization, or GPU/CUDA programming.
  • Programming experience in at least one of assembly, C++, C, Zig, or Rust.
  • Ability to manage ambiguity and escalations, align stakeholders, and communicate complex technical trade-offs.

Nice to have

  • Experience implementing kernels for ML models such as Transformers.
  • Experience with distributed parallelism, including AllReduce, AllToAll, data parallelism, or tensor parallelism.
  • Familiarity with compiler internals and implementation.

Culture & Benefits

  • Four weeks of accrued PTO, 12 company holidays, and up to three weeks of remote work.
  • Company-subsidized medical, dental, vision, life, HSA, and FSA benefits.
  • 401(k) options with up to 5% company contributions, plus retirement and disability benefits.
  • $1,500 annual professional development budget and up to $1,000 for home office setup.
  • Onsite team meals, paid daily commuting, internet and cellular reimbursements, and mental health support.
  • Paid parental leave and reproductive health and parental benefits.

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