Senior Solutions Architect - Drug Discovery

About the role

NVIDIA is seeking a Senior Solutions Architect to drive advancements in drug discovery and biological research through GPU-accelerated AI. This role focuses on enabling customers to leverage NVIDIA’s accelerated computing platform, libraries, and software for training, optimizing, and deploying large biological foundation models.

Responsibilities

• Partner with business and account teams to understand customer goals, scientific workflows, technical needs, and platform adoption strategies.
• Architect and optimize AI/ML pipelines for training large biological foundation models, with a focus on BioNeMo libraries and GPU-accelerated software that improve training efficiency.
• Build proof-of-concept demonstrations showcasing NVIDIA software and hardware accelerating scientific discovery.
• Collaborate across NVIDIA with subject matter experts, engineering, product, and field teams to deliver high-impact solutions.
• Document best practices and share knowledge through technical enablement, partner training, whitepapers, blogs, internal wiki articles, and hands-on customer workshops.
• Serve as a trusted technical advisor for integrating NVIDIA technologies into advanced biopharma and diagnostics applications.

Requirements

• MS or PhD in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, Computer Science, or a related technical field (or equivalent experience).
• 8+ years of experience in software development for deep learning, GPU acceleration, or scientific computing applications.
• Hands-on experience applying ML to at least one of these domains: genomics, quantum chemistry, biomaterials science, or structural biology.
• Experience profiling and optimizing training workflows for large AI models, including performance tuning, distributed training, data pipelines, and GPU utilization.
• Proficiency with Linux environments and experience working in HPC or accelerated computing environments, including Slurm and/or Kubernetes-based clusters.
• Excellent communication skills, especially for presenting highly technical material to scientists, engineers, executives, and customer stakeholders.
• A passion for working with forward-thinking customers, learning continuously, and staying at the forefront of AI for life sciences.

Qualifications

• Background with BioNeMo, NeMo, or related NVIDIA frameworks for training large biological or scientific foundation models.
• Experience with Parabricks, RAPIDS-singlecell, ALCHEMI, cuEquivariance, cuEST, or related accelerated libraries.
• Experience working with pharmaceutical or biotech companies.
• Demonstration of customer-facing technical leadership, including architecture reviews, executive briefings, technical workshops, or deployments at lighthouse accounts.

Skills

• Strong understanding of deep learning, GPU acceleration, and scientific computing.
• Experience with genomics, quantum chemistry, biomaterials science, and structural biology.
• Ability to communicate complex technical concepts to non-technical audiences.
• Experience with Linux environments and HPC clusters.

Benefits

• Competitive base salary ranging from $184,000 to $287,500 for Level 4, and $224,000 to $356,500 for Level 5.
• Equity and comprehensive benefits package.

Pay

• Base salary range: $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.

Schedule

• Full-time position.