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2 дня назад

Principal Software Engineer (AI)

190 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Principal Software Engineer (AI): Architecting and developing a kernel authoring SDK, domain-specific APIs, and development tools for the Corsair dataflow architecture with an accent on systems engineering, scalable software design, and ML compiler integration. Focus on building high-performance kernels and lowering flows, establishing CI/CD and automated testing, and solving complex hardware-software interactions.

Location: Hybrid in Santa Clara, California; open to other locations within the US or Canada

Salary: $190,000–$300,000 per year, plus equity and bonus opportunities

Company

hirify.global develops software and hardware solutions focused on generative AI and AI computing.

What you will do

  • Architect and develop a kernel authoring SDK targeting the Corsair dataflow architecture.
  • Design domain-specific APIs and define interfaces for kernel developers and compiler teams.
  • Create development tools for kernel authoring and modeling lowering flows.
  • Establish CI/CD pipelines, automated testing, and rigorous code review practices.
  • Analyze complex hardware-software interactions and implement end-to-end solutions.
  • Lead and mentor junior engineers while owning requirements, design, implementation, debugging, and deployment.

Requirements

  • MS degree in Computer Engineering, Mathematics, Physics, or a related field with 8 years of industry experience, or a PhD with 4 years of industry experience.
  • Proficiency in C/C++ and Python development in Linux environments.
  • Experience driving CI/CD integration, continuous testing, and comprehensive code reviews.
  • Deep understanding of computer architecture, data structures, system software, and machine learning fundamentals.
  • Experience designing scalable APIs and SDKs with an end-to-end systems engineering mindset.
  • Strong ownership, leadership, collaboration, and problem-solving skills.

Nice to have

  • Experience writing and optimizing high-performance kernels for GPUs, TPUs, or custom ML accelerators.
  • High-Performance Computing experience with distributed workloads and resource optimization.
  • Experience with ML compilers and intermediate representations or frameworks such as MLIR, LLVM, TVM, or Glow.
  • Familiarity with AI-assisted coding tools, startup or incubation experience, or work at a cloud or AI computing company.

Culture & Benefits

  • Collaborative and inclusive environment emphasizing respect, humility, direct communication, and diverse perspectives.
  • Medical, dental, and vision coverage.
  • 401(k) and an employee rewards plan supporting overall wellbeing.
  • Equity and performance-based bonus opportunities.

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