Senior Libraries Engineer – Ai Hpc jobs at Nvidia in Spain, Madrid

doing:

• Developing scalable library software using modern tools and languages for various numerical method.

• Performance tuning, optimization, and benchmarking of algorithms on various architectures.

• Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries.

• Providing technical leadership and guidance to library engineers working with you.

• Find opportunities to improve user experience and library performance.

What we need to see:

• PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).

• 5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA.

• C/C++ programming and software development skills.

• Proven experience in leading and completing software development projects.

• Strong collaboration, communication, and documentation habits.

Ways to stand out from the crowd:

• Good knowledge of CPU and/or GPU hardware architecture,

• Experience with software development practices such as CI/CD systems and project management tools such as JIRA,

• Experience with working in a distributed organization,

• Debugging, profiling, and testing skills for accuracy and performance,

• Fluency with Python.

What you’ll be doing:

• Collaborate closely with our partners and the open-source community to deliver their flagship models as highly optimized NVIDIA Inference Microservices (NIM).

• Research and develop innovative deep learning methodologies to accurately evaluate new model families across diverse domains.

• Analyze, influence, and enhance AI/DL libraries, frameworks, and APIs, ensuring consistency with the best engineering practices.

• Research, prototype, and build robust tools and infrastructure pipelines to support our ground-breaking AI initiatives.

What we need to see:

• BS, MS, or PhD in Computer Science, AI, Applied Math, or a related field, or equivalent experience.

• 10+ years of hands-on experience in AI for natural language processing (NLP) and large language models (LLMs).

• Strong problem-solving, debugging, performance analysis, test design, and documentation skills.

• Solid mathematical foundations and expertise in AI/DL algorithms.

• Excellent written and verbal communication skills, with the ability to work both independently and collaboratively in a fast-paced environment.

Ways to stand out from the crowd:

• Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard or HELM).

• Hands-on experience with inference and deployment environments like TensorRT, ONNX, or Triton.

• Passion for DevOps/MLOps practices in deep learning product development.

• Experience running large-scale workloads in high-performance computing (HPC) clusters.

• Strong understanding of Linux environments and containerization technologies like Docker.