At NXAI, we believe powerful AI belongs in the real world, not just the cloud. While our research team develops industry-leading time-series models, your mission in this role is to make those models run efficiently on any device.

What you’ll be working on:

• Deploy AI models on NVIDIA Jetson, Industrial PCs, Raspberry Pi, and Coral accelerators
• Convert and optimize models for edge runtimes
• Optimize inference for latency, throughput, memory usage, and power consumption
• Apply quantization and pruning
• Profile and debug performance bottlenecks
• Develop and optimize CUDA and C++ kernels for xLSTM architectures
• Collaborate with research to build scalable, fast AI architectures for the edge

What you bring to the table:

• Strong Python skills; familiarity with C/C++
• Solid understanding of PyTorch and ONNX
• Hands-on experience with quantization, pruning, and edge runtimes
• Exceptional problem-solving skills and the ability to work independently, taking ownership of the full deployment stack
• Familiarity with (embedded) Linux

What you'll get:

• The opportunity to shape the future of AI at one of Europe's leading AI labs, by making AI more efficient and capable of running on any device
• The chance to work on hard engineering problems alongside some of the best AI talent in Europe
• A market-aligned salary package tailored to your experience, plus individual benefits. Starting salary is €3,900 gross per month. The final salary is subject to negotiation based on your individual qualifications and experience and will be over the legally required minimum salary. The salary is paid 14 times per year.