Nvidia
Solutions Architect - Deep Learning for Drug Discovery
Found: January 15, 2026
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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.
