Senior Compiler Engineer – ML Backend for AI Accelerators

Olix

Greater London

On-site

GBP 189,000 - 231,000

Full time

2 days ago
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Benefits offered by this job

Equity options
Living-Local bonus
Retirement benefits

Job summary

OLIX is searching for a Senior Compiler Engineer to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation hardware. You will work on seamless support for large AI models and optimize performance in close collaboration with hardware and modelling teams.

The role focuses on designing and implementing a compiler stack for PyTorch, TensorFlow, JAX on custom hardware, with equity and local Living Bonus perks. London office.

Qualifications

  • 5+ years of software engineering with a focus on C/C++
  • Deep expertise in ML framework internals, compilers, low-level programming and optimisation techniques.
  • Deep expertise with TensorFlow, PyTorch or JAX models.
  • Experience with LLVM, OpenXLA/XLA, MLIR, TVM.
  • Bachelor's degree in CS, EE, maths or related field.
  • Personal projects are a differentiating factor.

Responsibilities

  • Own and deliver projects on team roadmap that unlock high-impact milestones.
  • Architect and build compiler, runtime and debugger for PyTorch, TensorFlow, JAX on custom hardware.
  • Optimise performance using layout, fusion, scheduling and tiling to maximise throughput.
  • Lead code reviews and uphold best practices in ML backend and performance engineering.
  • Stay ahead of GPU and AI accelerator trends and prototype innovations.

Skills

C/C++
ML framework internals
Compiler development
Low-level programming
TensorFlow PyTorch JAX
LLVM OpenXLA MLIR TVM
High-performance computing
Problem solving
Team collaboration

Education

Bachelor's degree in CS/EE/math

Tools

LLVM
OpenXLA/XLA
MLIR
TVM

Job description

OLIX is searching for a Senior Compiler Engineer to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation hardware. You will work on seamless support for large AI models and optimize performance in close collaboration with hardware and modelling teams.

The role focuses on designing and implementing a compiler stack for PyTorch, TensorFlow, JAX on custom hardware, with equity and local Living Bonus perks. London office.

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