Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Чёткий фокус на компиляторах и ML-бэкенде для собственного AI-ускорителя даёт сильный технический опыт, но амбициозный аппаратный проект молодой компании и обязательный офис добавляют риски.
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Только офисПередовые технологииПерспективная сфераВлияние на продуктВыше рынка
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Compiler Engineer (AI): Building the ML backend, compiler, runtime, and debugger that connect PyTorch, TensorFlow, JAX, and MXNet to next-generation decode accelerator hardware with an accent on low-level compilation and model performance. Focus on designing compiler toolchains, applying layout, fusion, scheduling, and tiling optimizations, and collaborating with hardware and modelling teams to address device trade-offs.
Location: London, UK; on-site
Starting from £210,000 annually; equity offered
Company
hirify.global develops the DX-1 decode accelerator, a next-generation AI hardware platform combining logic, data movement, packaging, optics, and interconnect at rack scale.
What you will do
Own and deliver compiler and ML backend projects that support major technical and business milestones.
Design and implement the compiler, runtime, and debugger connecting PyTorch, TensorFlow, JAX, and MXNet to custom hardware and low-level kernel drivers.
Build support for a broad ecosystem of large AI models and optimize their performance on the accelerator.
Apply layout, fusion, scheduling, and tiling techniques to remove bottlenecks and maximize throughput.
Lead code reviews, coach peers, uphold engineering standards, and guide team direction through accelerator and GPU research and prototyping.
Partner closely with hardware and modelling teams to understand device trade-offs.
Requirements
5+ years of software engineering experience focused on C/C++ programming.
Deep expertise in ML framework internals, compilers, low-level programming, and optimization techniques.
Deep expertise optimizing TensorFlow, PyTorch, or JAX deep learning models.
Deep expertise with multiple toolchains including LLVM, OpenXLA/XLA, MLIR, and TVM.
Practical experience applying machine learning in high-performance computing contexts.
Strong problem-solving skills and the ability to think critically and creatively.
Experience working in high-pace, dynamic environments.
Excellent teamwork and communication skills, including effective collaboration with cross-functional teams.
Bachelor’s degree in computer science, electrical engineering, telecoms engineering, mathematics, or a related field.
Nice to have
Personal projects are a key differentiating factor and carry more weight than other requirements.
Culture & Benefits
Meaningful stock options and ownership in the company.
Annual Living-Local Bonus for employees living within 20 minutes of the office.
Employer-contributed retirement plans.
Competitive salary based on experience, skills, and location.
Work on custom AI accelerator hardware and its compiler, runtime, and debugger ecosystem.
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