Solutions Architect - Deep Learning for Drug Discovery

This role is remote-friendly across multiple locations including Germany, UK, Belgium, and Switzerland.

What you'll do:

• 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 necessary to ensure success.

What we need to see:

• MS or PhD in Computer Science or related field with applied experience.
• 5+ years in software development for deep learning or GPU acceleration.
• 3+ years in deep learning software architecture or high-performance computing.
• Proficient in Linux/GNU toolchain and HPC environments.
• Experience with scientific programming languages like Python, C/C++, or CUDA.
• Strong communication skills for presenting technical material.

Ways to stand out:

• Experience optimizing training and inference at scale.
• Background in developing healthcare-related deep learning models.
• Familiarity with parallel programming and AI deployment technologies.