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Kalray is seeking an AI Compiler Engineer to design, develop, and optimize the compiler toolchain bridging high-level ML frameworks to Kalray hardware accelerators. You will work with software, hardware, and AI teams to enable efficient inference on GenAI workloads.
The role emphasizes graph lowering, code generation, and performance optimization, with collaboration across multidisciplinary teams in a fast-paced environment.
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.
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:
Technical skills:
Nice to have:
Profile:
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.
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.
We’re always looking for people with unique backgrounds and skill sets. If you don’t see a role that works for you, but you believe you have something to offer, drop us a line and tell us your story.