Solutions Architect - Deep Learning for Drug Discovery

This role is based in multiple locations including Germany, UK, Belgium, and Switzerland, with remote options available.

What you will be doing:

• Partner with business teams to understand customer goals and deliver high-value solutions.
• Architect and scale high-performance AI deployments using NVIDIA GPU supercomputers.
• Document knowledge and provide training for partners and Solutions Architects.
• Lead integration of NVIDIA technology into AI and HPC architectures.
• Engage with customers and travel as needed to ensure success.

What we need to see:

• MS or PhD in Computer Science, Computational Biology, or related fields.
• 5+ years of experience in software development for deep learning or GPU acceleration.
• 3+ years in deep learning software architecture or high-performance computing.
• Proficiency in Linux/GNU and HPC cluster environments.
• Full-stack scientific computing experience in Python, C/C++, or CUDA.

Ways to stand out:

• Experience optimizing training and inference at scale with GPU.
• Background in developing Transformer models for healthcare applications.
• Experience in the pharmaceutical industry or thought leadership in AI/ML applications.