NVIDIA is looking for a Solution Architect – Digital Biology to join our team in the EMEA region. You will collaborate directly with life sciences customers, acting as a trusted technical advisor to accelerate their digital biology initiatives. This role involves guiding pharmaceutical and techbio companies through the full journey of AI adoption, from initial concepts to optimized deployment.
What You'll Do
- Guide customers through the end-to-end process of AI adoption—from requirements gathering and proof-of-concept development to deployment, integration, benchmarking and ongoing optimization.
- Collaborate with the business and account teams to identify technical needs, customer goals, and strategies, enabling customer adoption of NVIDIA technology by mapping solutions to their use cases.
- Drive positive relationships with technology partners, making NVIDIA an integral part of end-user solutions.
- Keep up to date on AI advancements in Digital Biology and relevant NVIDIA technology.
- Be a technical leader, bringing vision to the integration of NVIDIA technology into AI and HPC architectures for advanced applications like agentic AI, autonomous labs, or drug discovery.
- Engage with developers, researchers, data scientists, IT managers, and senior leaders internally and externally.
- Document knowledge and teach others through building training, writing whitepapers, blogs, and wiki articles, or working through problems with customers.
- Use conferencing tools, with some travel required.
What We're Looking For
- MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, or related fields with strong applied experience.
- 5+ years of work-related experience with hands-on expertise in AI/ML for healthcare or life sciences.
- Proven experience with Python and AI/ML frameworks (PyTorch, Langchain, or building custom framework) and application to scientific questions.
- Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology into complex projects.
- Motivated self-starter with strong problem-solving skills and customer-facing communication skills, effectively presenting complex technical information.
Nice to Have
- Demonstrated work in AI-at-scale related to multi-omics foundation models, protein structure prediction, drug discovery or clinical development.
- Experience building, deploying, and optimizing agentic AI systems for healthcare and life sciences, especially for scientific software vendors and data platforms.
- 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), cloud deployment (AWS, Azure) or optimization frameworks (e.g. cuOpt).
- Experience in the pharmaceutical industry or established thought leadership through publications or presentations on AI/ML applications in healthcare and life science.
Technical Stack
- Languages/Frameworks: Python, AI/ML frameworks (PyTorch, Langchain)
- Hardware & Acceleration: CUDA, TensorRT
- Cloud & Platforms: AWS, Azure
- Specialized Libraries: cuOpt, Transformer Engine, Megatron-LM
Work Mode
This role follows a hybrid work model and is based in the EMEA region.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
