[Hiring] Solution Architect – Digital Biology @NVIDIA

Role Description

Join our team as a Solutions Architect in EMEA, where you will collaborate with life sciences customers to accelerate digital biology use cases. We are seeking an enthusiastic individual to join us in exploring new opportunities in the AI-powered digital biology revolution.

As a Solution Architect, you will work as a trusted technical advisor to our customers in the pharmaceutical and techbio industries. Your responsibilities will include:

• 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 our business/account team to identify technical needs, customer goals, and strategies.
• Enable customer adoption of NVIDIA technology by mapping our solutions to their use cases and driving positive relationships with our technology partners.
• Keep up to date on AI advancements in Digital Biology and relevant NVIDIA technology.
• Be a technical leader, integrating NVIDIA technology into AI and HPC architectures for advanced applications.
• Engage with developers, researchers, data scientists, IT managers, and senior leaders internally and externally.
• Document knowledge and teach others through targeted training, writing whitepapers, blogs, and wiki articles.
• Utilize conferencing tools and travel as required to ensure customer success.

Qualifications

• MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, or Computational Physics.
• 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 frameworks).
• Strong time-management and organizational skills for coordinating multiple initiatives and complex projects.
• Motivated self-starter with strong problem-solving and customer-facing communication skills.

Requirements

• 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.
• Experience developing, training, and customizing Transformer models for healthcare and life sciences applications.
• Background with accelerating scientific algorithms using parallel programming (e.g., using CUDA).
• Experience in the pharmaceutical industry or established thought leadership through publications or presentations on AI/ML applications in healthcare and life sciences.

Company Description

NVIDIA is committed to fostering a diverse work environment and 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.