NVIDIA is hiring a Solutions Architect - Deep Learning for Drug Discovery

NVIDIA is seeking a Solutions Architect - Deep Learning for Drug Discovery to help redefine the biopharma industry through AI-powered innovation. You will act as a trusted technical advisor, collaborating with pharmaceutical companies, biotechs, and research organizations to accelerate healthcare breakthroughs using NVIDIA’s computing platform.

What You'll Do

• Partner with business and account teams to understand customer goals, strategies, and technical needs, and help define and deliver high-value solutions.
• Architect and scale high-performance, distributed AI deployments built on NVIDIA GPU supercomputers.
• Document knowledge and teach others through targeted training, whitepapers, blogs, and wiki articles.
• Be an industry leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications like foundation model training.
• Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA's computing platform.
• Travel as required to make customers successful.

What We're Looking For

• MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry or Computational Physics with strong applied experience.
• 5+ years of work-related experience in software development of deep learning or GPU acceleration methods for scientific applications.
• 3+ years of work-related experience with deep learning software architecture and frameworks or high performance computing applications.
• Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments.
• Full-stack scientific computing experience including software development in scientific programming languages, such as Python, C/C++, and/or CUDA.
• Excellent communication skills particularly in the presentation of highly technical material.
• Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain.

Nice to Have

• Demonstrated work in optimizing training and inference at scale and expertise in accelerated computing with GPU.
• Experience developing, training and customizing Transformer models for healthcare and life sciences applications, especially using libraries like Transformer Engine or Megatron-LM.
• Background with accelerating scientific algorithms using parallel programming (e.g., using CUDA), or experience with distributed programming models for supercomputing applications, AI deployment/inference technologies (e.g. TensorRT) or optimization frameworks (e.g. cuOpt).
• Experience developing deep learning models using clinical trial or real‑world patient data.
• Experience in the pharmaceutical industry or established thought leadership through publications or presentations on AI/ML applications in healthcare and life science.

Technical Stack

• Deep Learning, Machine Learning, High-Performance Computing, GPU
• Linux/GNU, Python, C/C++, CUDA
• Transformer Engine, Megatron-LM, TensorRT, cuOpt

Team & Environment

You will be part of the EMEA team.

Work Mode

This role is based in the EMEA region.

NVIDIA is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.