Senior AI Compiler Engineer - Equity & ML Backend

Flux Computing

Greater London

On-site

GBP 90,000 - 140,000

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 seeking a Senior Compiler Engineer to join the team building the ML backend (compiler, run-time, debugger) for our next‑gen hardware. You will enable seamless PyTorch, TensorFlow, JAX integration, and drive performance optimisations on bespoke accelerators.

You will lead design and implementation of the compiler stack, collaborate with hardware and modelling teams, and mentor peers to maintain coding standards as the company scales its decode accelerator DX‑1 project.

Qualifications

  • 5+ years of software engineering focusing on C/C++.
  • Deep expertise in ML framework internals, compilers and optimisation.
  • Strong experience with TensorFlow, PyTorch or JAX.
  • Hands-on with LLVM, MLIR, OpenXLA/XLA, TVM toolchains.
  • Proven ability to optimize large AI models in HPC contexts.
  • Excellent problem-solving and communication skills.
  • Demonstrated teamwork in fast-paced environments.
  • Bachelor's degree in CS/EE or related field; strong personal projects.

Responsibilities

  • Own and deliver compiler, runtime and debugger for ML backend.
  • Design and implement support for PyTorch, TensorFlow, JAX on custom hardware.
  • Apply advanced techniques to improve throughput and efficiency.
  • Lead code reviews and mentor peers on performance engineering.
  • Stay ahead of GPU accelerator trends and prototype innovations.

Skills

C/C++ programming
ML framework internals
TensorFlow / PyTorch / JAX
LLVM / MLIR / XLA
High-performance computing
Problem solving
Team collaboration
Personal projects

Education

Bachelor's degree in computer science or related field

Tools

LLVM
OpenXLA/XLA
MLIR
TVM

Job description

OLIX is seeking a Senior Compiler Engineer to join the team building the ML backend (compiler, run-time, debugger) for our next‑gen hardware. You will enable seamless PyTorch, TensorFlow, JAX integration, and drive performance optimisations on bespoke accelerators.

You will lead design and implementation of the compiler stack, collaborate with hardware and modelling teams, and mentor peers to maintain coding standards as the company scales its decode accelerator DX‑1 project.

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