Senior Solutions Architect - Drug Discovery

NVIDIA • US, CA, Remote, MA

2d • $184,000 - $356,500

About The Position

NVIDIA is seeking a Senior Solutions Architect to help 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. As a trusted technical advisor, you will work with leading organizations across North America to accelerate AI/ML workflows in areas such as genomics, quantum chemistry, biomaterials science, and structural biology. You will help customers integrate accelerated libraries, scalable training frameworks, and high-performance computing techniques to improve training efficiency, reduce time to insight, and unlock new scientific capabilities.

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.

Nice To Haves

• 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.

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 that show how NVIDIA software and hardware accelerate scientific discovery.
• Collaborate across NVIDIA with subject matter experts, engineering, product, and field teams to bring the right technical expertise to customer engagements and deliver high-impact solutions.
• Document best practices and teach others 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.

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior