ABOUT KALRAY
Kalray is a European leader in hardware acceleration, with full-stack acceleration expertise: from silicon to complete system.
Our MPPA® (Massively Parallel Processor Array) architecture is the foundation of Kalray’s processor (30+ patent families, 15+ years of development) and acceleration cards that combine processing power, flexibility, and energy efficiency.
Our mission is to deliver open data-efficient hardware accelerators to power next generation of data-intensive, AI-driven systems and infrastructures. We offer off-the-shelf processors, acceleration cards, and specialized processor development.
With over 130 employees and presence in France and Romania, Kalray is backed by top-tier investors and publicly listed on Euronext Growth. You’ll be part of a pioneering team that is shaping the future of computing with cutting-edge processor architecture, software-defined solutions, and next-generation acceleration platforms.
We offer a fast-paced, inclusive, and collaborative environment where ambitious experienced professionals and young talents can thrive—while enjoying the positive and inspiring lanscape of the Alps or the Côte d’Azur. You can learn more about us on our website, follow us on LinkedIn.
You can learn more about us on our website, follow us on LinkedIn.
WHAT YOU ‘LL BE DOING:
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 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 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
Of course, you might not have all of those required skills! But feel free to apply anyway and explain to us why you believe you are the right person for the job.
CONTRACT INFORMATION:
- Type of contract: Permanent contract
- Starting date: As soon as possible
- Location: Montbonnot(38)
WHAT WE CAN OFFER YOU:
- Competitive salary & performance-based RSU (free shares)
- Hybrid work model
- Additional paid leave (RTT)
- Meal vouchers (Edenred)
- Premium health coverage (Malakoff Humanis)
- Sustainable mobility incentives
- Generous paternity leave
- Monthly team activities (laser game, hiking, sailing, karaoke …) and large-scale company events
RECRUITMENT PROCESS:
- First interview with the line manager
- Second interview with the team
- Final interview with HRD or CEO
Equal Opportunity Statement
KALRAY is committed to creating a diverse and inclusive environment, and we welcome applications from individuals of all backgrounds, identities, and experiences. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, skin color, national origin, gender, sexual orientation, age, marital status, disability status, or any other characteristic protected by law. Should you require any accommodations or adjustments throughout the interview process and beyond, please do not hesitate to let us know. We are committed to ensuring that all candidates have an equal opportunity to showcase their abilities and succeed in our organization.