AI-Driven ML Systems & Compiler Engineer

Huawei; Cambridge; On-site; GBP 60,000 - 100,000; Full time

Job summary

Huawei’s Cambridge-based research team is seeking an engineer to design and train RL/LLM-based agents that uncover performance optimisations in kernels, runtimes, and compiler output. You will also build the sandboxed infrastructure, reward design, and rigorous benchmarking on real hardware.

We expect strong C++ and Python skills with hands-on experience in compiler infrastructure or language runtimes and in end-to-end system building.

Qualifications

• BSc or MSc in Computer Science, Electrical Engineering or a related field, or equivalent practical experience.
• Strong C++ and Python.
• Hands-on experience in at least two areas: compiler infrastructure (LLVM, MLIR, or a custom compiler); language runtimes (JIT compilers, interpreters, or dynamic language VMs such as V8, JavaScriptCore, PyPy, LuaJIT or the JVM); training or post-training models, including reinforcement learning (PPO, GRPO, or RLHF-style).
• Evidence of building a non-trivial system end-to-end.

Responsibilities

• Design and train RL and LLM-based agents that discover and verify performance optimisations in kernels, language runtimes and compiler output.
• Build the infrastructure around those agents: reward design, sandboxed execution environments, benchmark harnesses, and verification that catches reward hacking.
• Write and optimise performance-critical code, such as compiler passes, interpreter and JIT hot paths, and runtime data structures, and measure it rigorously on real hardware.
• Turn research papers into working prototypes quickly, and turn strong prototypes into patents and publications.
• Work with CPU architects and kernel and compiler engineers to turn ML-driven insights into hardware-software co-design proposals.

Skills

C++

Python

LLVM/MLIR

JIT/VMs

RL/LLM training

Education

BSc or MSc in Computer Science or related field

Tools

LLVM

MLIR

Custom compiler

Job description

Huawei’s Cambridge-based research team is seeking an engineer to design and train RL/LLM-based agents that uncover performance optimisations in kernels, runtimes, and compiler output. You will also build the sandboxed infrastructure, reward design, and rigorous benchmarking on real hardware.

We expect strong C++ and Python skills with hands-on experience in compiler infrastructure or language runtimes and in end-to-end system building.