Senior Solutions Architect - GPU-Accelerated Drug Discovery

Nvidia Corporation; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Solutions Architect to redefine drug discovery and biological research through GPU-accelerated AI. This role will focus on enabling pharmaceutical and techbio customers to train, optimize, and deploy large biological foundation models using NVIDIA's accelerated computing platform, models and libraries.

Our Solutions Architects are elite developers, scientists, and technical leaders who thrive at the intersection of science, AI, and customer engagement.

Qualifications

• MS or PhD in Computational Biology, Computational Chemistry, or related field.
• 5+ years in software development for DL/GPU acceleration or scientific computing.
• Hands-on ML in genomics, quantum chemistry, biomaterials science, or structural biology.
• Experience profiling/training workflows for large AI models and GPU utilization.
• Proficiency with Linux HPC clusters (Slurm/Kubernetes).
• Excellent communication for diverse stakeholder audiences.

Responsibilities

• Partner with business and account teams to understand goals and platform adoption.
• Architect and optimize AI/ML pipelines for training large biological models using BioNeMo.
• Build proof-of-concept demos showing NVIDIA software/hardware accelerations.
• Collaborate across NVIDIA with engineers, product, and field teams for high-impact solutions.
• Document best practices and deliver technical enablement through workshops and papers.
• Serve as trusted advisor for integrating NVIDIA technologies into biopharma apps.

Skills

Communication

Customer-facing leadership

Technical storytelling

Bio/pharma AI knowledge

Education

MS or PhD in Computational Biology/Related field

Tools

Slurm

Kubernetes

Linux HPC environments

Job description

NVIDIA is seeking a Senior Solutions Architect to redefine drug discovery and biological research through GPU-accelerated AI. This role will focus on enabling pharmaceutical and techbio customers to train, optimize, and deploy large biological foundation models using NVIDIA's accelerated computing platform, models and libraries.

Our Solutions Architects are elite developers, scientists, and technical leaders who thrive at the intersection of science, AI, and customer engagement.