Job Search and Career Advice Platform

Enable job alerts via email!

Senior Compiler Engineer – AI Hardware & MLIR

Charterhouse

Dubai

On-site

AED 120,000 - 200,000

Full time

3 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A growing technology innovator in Dubai seeks an experienced Compiler Engineer to design and implement MLIR dialects for advanced AI hardware. The role involves transforming ML graphs into optimized kernels and profiling compiler output for performance. Candidates should have over 5 years of experience, strong C++ skills, and familiarity with AI frameworks like PyTorch and ONNX. An advanced degree is preferred. This position offers the opportunity to impact next-generation AI hardware solutions.

Qualifications

  • 5+ years experience in compiler engineering or high-performance systems.
  • Hands-on experience with MLIR or LLVM is essential.
  • Familiarity with core ML operations like tensor manipulation and matrix multiplications.

Responsibilities

  • Design and implement MLIR dialects targeting advanced AI platforms.
  • Transform ML graphs from frameworks into optimized kernels.
  • Profile, benchmark, and optimize compiler output for performance targets.

Skills

Modern C++ programming
Python scripting
Compiler internals
Tensor manipulation
Matrix multiplications
Quantization

Education

Degree in Computer Science
Advanced degree (M.S. or Ph.D.)

Tools

MLIR
LLVM
ONNX
PyTorch
TensorFlow
Job description
A growing technology innovator in Dubai seeks an experienced Compiler Engineer to design and implement MLIR dialects for advanced AI hardware. The role involves transforming ML graphs into optimized kernels and profiling compiler output for performance. Candidates should have over 5 years of experience, strong C++ skills, and familiarity with AI frameworks like PyTorch and ONNX. An advanced degree is preferred. This position offers the opportunity to impact next-generation AI hardware solutions.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.