About Us
Axelera AI is not your regular deep-tech company. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just five years, we have raised a total of $450 million and have built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations), both remotely from 21 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a general industry pioneer. As a Senior AI Application Engineer in the Model Enablement team (Application Software), you will own LLM and VLM support on Metis and Europa AIPUs, from studying new models to shipping them in the Voyager SDK. The role combines LLM/VLM knowledge with solid software engineering. Our team uses AI coding agents in daily work, and you will use them to build, test and verify your own work. We also welcome experienced field application engineers, technical leads and engineering managers who want to return to hands-on engineering. Experience in planning, delegating and reviewing work transfers well to working with AI agents. Productization: Turn your results and our ML research group's results into supported Voyager SDK features, with stable APIs, tests, documentation and release gates. For each LLM/VLM building block, own the PyTorch reference with quantization baked in, the weight mapping, and one contract that lists every input,



output, weight and persistent state (such as a paged KV cache), and hand that contract to the compiler team. Quality: 5+ years of software engineering experience, with at least 2 years on ML inference, ML systems or ML tooling. ~ Solid understanding of transformer inference: attention variants, KV caching, prefill versus decode, sampling, tokenization, and how a VLM joins a vision encoder to a language model. ~ Working knowledge of LLM quantization (weight-only and weight-activation schemes, calibration, outlier handling), and the ability to tell a quantization loss from an implementation bug. ~ Strong Python and PyTorch, and experience shipping production-quality software. ~ Daily use of AI coding agents on real codebases, with good judgment about when to verify or reject their output. ~ Experience building evaluation or testing harnesses for ML systems or AI agents, or tool-calling agents (for example MCP servers).

We offer
a flexible working arrangement, with options to: Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity. Work fully remotely from any European country (incl. Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven).

We offer
an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares. At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. We welcome applicants from all backgrounds to join us in shaping the future of AI.

📌 Product Applications Engineer (España)
🏢 Axelera AI
📍 España