AI Compiler Engineer

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profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

The Role:

As an AI Compiler Engineer you will be responsible for designing developing and optimizing the AI compiler toolchain that bridges high-level machine learning frameworks and Openchips AI hardware accelerators (RISC-V). 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 Openchips AI inference stack.

Key Responsibilities:

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).

Collaborate with hardware teams to leverage hardware features maximizing performance.

Contribute to open-source compiler ecosystems (e.g. LLVM MLIR TVM XLA IREE).

Profile debug and optimize model execution to maximize throughput and minimize latency together with energy efficiency.

Enable validation on prototype silicon or simulators or real hardware.

Required Qualifications:

Masters 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 neural network computation graphs linear algebra and AI inference frameworks.

Experience in code generation optimization passes and runtime integration.

Technical skills:

MLIR / LLVM / IREE / TVM compiler development

Model formats: ONNX TensorFlow PyTorch

Low-level optimization (SIMD vectorization scheduling data-tiling)

Familiarity with hardware accelerators (GPU NPU TPU DSP)

Software profiling and performance analysis tools

Git CMake 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

Soft Skills:

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

WHAT WE OFFER

Contract: Permanent contract (CDI)

Location: Montbonnot-Saint-Martin (near Grenoble)

Remote policy: Up to 2 days per week remote work possible

Benefits: Meal vouchers Premium health coverage Sustainable mobility incentives Generous paternity leave etc.

We offer a remuneration package that values your experience

We believe in investing in our employees and providing them with opportunities for growth and career development.

Join an innovative team and experience company growth.

A chance to work on one of the most transformative AI and silicon engineering companies in Europe.

Opportunity to travel to other countries in Europe to meet the teams collaborate and drive solutions

We are looking for outstanding people willing to join our mission to change the silicon industry and help build

a better world. If you identify with Openchip please contact us.

At Openchip & Software Technologies S.L. we believe a diverse and inclusive team is the key to groundbreaking

ideas. We foster a work environment where everyone feels valued respected and empowered to reach their full

potential - regardless of race gender ethnicity sexual orientation or gender identity.

The Role:As an AI Compiler Engineer you will be responsible for designing developing and optimizing the AI compiler toolchain that bridges high-level machine learning frameworks and Openchips AI hardware accelerators (RISC-V). You will work closely with software hardware and AI engineers to enable e...
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