AI Compiler Engineer: MLIR & GPU Inference

NVIDIA Corporation; United Kingdom; Remote; GBP 95,000 - 125,000; Full time

Job summary

NVIDIA Corporation in the United Kingdom is seeking an AI Compiler Engineer to push the boundaries of compiler optimizations for next‑generation GPUs and AI workloads. You will work with MLIR, C/C++, and Python to optimize kernels, enable scalable datacenter deployments, and collaborate with hardware, software, and research teams in a fast‑paced, product‑driven environment.

Strong communication skills and a PhD are valued, and you will contribute to cutting‑edge AI infrastructure powering global

Qualifications

• BS or MS in Computer Science, Computer Engineering, or related field.
• PhD strongly preferred.
• 3+ years of compiler optimization experience.
• Hands-on MLIR experience.
• Proficient in C/C++ and Python

Responsibilities

• Drive technical innovation: hands-on development focusing on kernel generation and computational graph optimizations for next-gen NVIDIA GPUs.
• Advance the state-of-the-art: solve complex compilation problems for AI workloads (inference and training).
• Collaborate on hardware/software co-design: partner with hardware, software and research divisions to architect future silicon.
• Scale AI to the datacenter: contribute to datacenter-scale AI workload deployments and optimization.

Skills

Compiler optimizations

MLIR

C/C++

Python

Education

BS or MS in Computer Science or Computer Engineering

PhD strongly preferred

Job description

NVIDIA Corporation in the United Kingdom is seeking an AI Compiler Engineer to push the boundaries of compiler optimizations for next‑generation GPUs and AI workloads. You will work with MLIR, C/C++, and Python to optimize kernels, enable scalable datacenter deployments, and collaborate with hardware, software, and research teams in a fast‑paced, product‑driven environment.

Strong communication skills and a PhD are valued, and you will contribute to cutting‑edge AI infrastructure powering global