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Deep Learning Compiler Engineer (MLIR/LLVM)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Deep Learning Compiler Engineer (MLIR/LLVM): Designing and implementing new optimizations within the MLIR and LLVM frameworks to enhance model-level performance for deep learning applications with an accent on identifying and addressing compiler pipeline bottlenecks. Focus on exploring and prototyping novel compilation techniques to improve hardware utilization and efficiency.

Location: This role uses a hybrid work model. Primary location: Israel, Petah-Tikva.

Company

hirify.global drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services.

What you will do

  • Design and implement new optimizations within MLIR and LLVM frameworks to enhance model-level performance for deep learning.
  • Collaborate with architecture and performance teams to identify and address bottlenecks in the compiler pipeline.
  • Engage with internal customers and developers to understand requirements and support model-level performance tuning.
  • Explore and prototype novel compilation techniques to improve hardware utilization and efficiency.

Requirements

  • 5+ years of experience in C++ and familiarity with modern software development practices.
  • Background in high-performance computing or parallel programming.
  • Strong analytical and problem-solving skills.
  • Experience with development on Linux.

Nice to have

  • Strong experience with compiler design and middle-end optimizations, preferably using MLIR and LLVM.
  • Experience with code generation, performance analysis, and tuning for hardware accelerators.
  • Knowledge of dataflow graphs, IR transformation, and optimization techniques.

Culture & Benefits

  • Hybrid work model, allowing employees to split time between on-site and off-site.
  • Opportunity to contribute to cutting-edge deep learning workloads and drive performance improvements.
  • Collaborative environment engaging with architecture, performance, and customer teams.
  • Work on products and services that impact hirify.global's market segments.
  • Commitment to diversity and inclusion, ensuring equal employment opportunities.

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