AI Compiler Engineer

Recruitment Consultant

Simon Troupe

Contact Details

stroupe@eu-recruit.com +44 (0)330 335 2369

Posted

10 hours ago

AI Compiler Engineer
You will work closely with software, hardware, and AI engineers to enable efficient inference execution of best-in-class GenAI LLMs, optimizing code generation and advance compiler infrastructure.
Your work will directly influence performance and scalability across AI inference stack.
Your main responsibilities will include:

Leading and contributing to:
Design, implement, and maintain compiler components for AI inference workloads, focusing on graph lowering, optimization, and code generation (from frameworks like PyTorch, TensorFlow, or ONNX to hardware).
Enable validation on prototype silicon or simulators or real hardware
Profile, debug and optimize model execution to maximize throughput and minimize latency together with energy efficiency.
Contribute to open-source compiler ecosystems (e.g., LLVM, MLIR, XLA, IREE)
Collaborate with hardware architecture team to leverage hardware features, maximizing performance.

WHAT WE ARE LOOKING FOR:
Technical skills:

MLIR / LLVM / IREE / XLA compiler development
Model formats: ONNX, TensorFlow, PyTorch, HuggingFace
Low-level optimization (SIMD, vectorization, scheduling, data-tiling)
Familiarity with hardware accelerators (GPU, NPU, TPU, CPU)
Software profiling and performance analysis tools
Git, CI/CD workflows

Nice to have:

Experience with RISC-V architecture or AI accelerators
Contributions to open-source MLIR or compiler projects
Knowledge of quantization, mixed precision, and graph optimization techniques
Exposure to system software, runtime APIs, or driver-level integration
Background in heterogeneous computing and parallel processing

Profile:

Master’s or PhD in Computer Science, Electrical/Computer Engineering, or related field.
3+ years of experience in compiler development for AI/ML, GPU, DSP, or custom accelerators.
Proven expertise with MLIR, LLVM, or similar compiler infrastructures.
Strong programming skills in C++ and Python.
Solid understanding of AI computation graphs, linear algebra, and AI inference frameworks.
Experience in code generation, optimization passes, and runtime integration.
Passion for innovation and cutting-edge AI technologies
Strong collaboration and cross-functional communication skills
Autonomy, curiosity, and a growth mindset
Problem-solving attitude with attention to detail
Ability to thrive in a fast-paced, startup-like environment

Industry

Semiconductor

Contract Type

Permanent

Location

France

City

Grenoble

Work Model

On-Site

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AI Compiler Engineer

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