Infrastructure Testing Specialist

• Develop and maintain software tools and frameworks for deploying AI models on specialized hardware.
• Deploy and optimize AI models in HPC and Cloud environments.
• Work on multi-node and multi-GPU deployment scenarios.
• Profile and analyze AI application performance.
• Contribute to continuous improvement of AI deployment architecture, tools, and workflows.

• Hands-on experience with AI model deployment frameworks such as vLLM, SGLang, Triton, DeepSpeed.
• Experience with AI model serving in HPC and/or Cloud environments.
• Strong background in multi-node and multi-GPU deployment and optimization.
• English proficiency at C1 level or higher.
• Bachelor's, Master's, or PhD degree in a relevant field.
• Experience with TensorFlow.
• Experience with C/C++ and Python interoperability.
• Bare-metal programming experience.
• Software profiling and architecture-based optimization.

Relocation package for you and your family (visa, flights, first-month rent, housing assistance).

Flexible working hours (Monday-Friday, 9:00-18:00).

Small, highly skilled team with strong technical ownership and impact. Benefits

• Candies, coffee, and free Spanish lessons.
• Work in one of the few European companies building AI chip infrastructure end-to-end.

Autsorsa | HR & BPO Solutions Madrid, Comunidad de Madrid 70.000 - 90.000 Overview Our client is a leading European semiconductor company developing cutting-edge AI chip infrastructure and software platforms that enable high-performance AI and data processing workloads. Their teams work end-to-end - from hardware architecture to low-level software - building complete solutions that power next-generation AI systems.