NVIDIA
Drug Discovery
SeniorSolutionsArchitect
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“Senior Solutions Architect at NVIDIA. Skills: Solutions Architecture, AI/ML, GPU acceleration, Drug Discovery, Biological Research. enable pharmaceutical and techbio customers to train, optimize, and deploy large biological foundation models using NVIDIA’s accelerated computing platform, models and libraries. work with leading organizations across North America to accelerate AI/ML workflows in areas such as genomics, quantum chemistry, biomaterials science, and structural biology”
What You'll Achieve.
improve training efficiency; reduce time to insight; unlock new scientific capabilities
Industry & Context.
optimize AI/ML pipelines; improve training efficiency; reduce time to insight
What They're Looking For.
Must Have
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, experience working in HPC or accelerated computing environments, 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, staying at the forefront of AI for life sciences
Nice to Have
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
What You'll Do.
enable pharmaceutical and techbio customers to train
and deploy large biological foundation models using NVIDIA’s accelerated computing platform
work with leading organizations across North America to accelerate AI/ML workflows in areas such as genomics
and structural biology
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
Partner with business and account teams to understand customer goals
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
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
internal wiki articles
and hands-on customer workshops
Serve as a trusted technical advisor for integrating NVIDIA technologies into advanced biopharma and diagnostics applications
How You'll Work.
Team & Collaboration
Partner with business and account teams; Collaborate across NVIDIA with subject matter experts, engineering, product, and field teams; bring the right technical expertise to customer engagements; deliver high-impact solutions
Communication Scope
Excellent communication skills; presenting highly technical material to scientists, engineers, executives, and customer stakeholders
Full Job Description
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. **What You Will Be Doing:** * 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. **What We Need To See:** * MS or PhD in Computational Biology, Computational Chemistry, Computational Ph
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