AI-Driven Solutions Architect for Drug Discovery

Socket.dev

Massachusetts

Hybrid

USD 152,000 - 288,000

Full time

9 days ago

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Job summary

NVIDIA is seeking a Senior Solutions Architect to advance drug discovery and bioresearch with GPU-accelerated AI. You will enable pharma and techbio customers to train, optimize, and deploy large biological models using NVIDIA's platform and libraries.

You will lead technical engagements across North America, build PoCs, and collaborate with experts to improve training efficiency and time to insight in genomics, quantum chemistry, and structural biology.

Qualifications

MS or PhD in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, Computer Science, or related field.
5+ years of software development experience for deep learning, GPU acceleration, or scientific computing.
Hands-on ML experience in domains like genomics, quantum chemistry, biomaterials, or structural biology.

Responsibilities

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 using BioNeMo libraries and GPU-accelerated software.
Build proof-of-concept demonstrations showing how NVIDIA software and hardware accelerate discovery.
Collaborate with engineering, product, and field teams to bring technical expertise to customer engagements.
Document best practices and teach through enablement, workshops, blogs, and internal knowledge bases.
Serve as a trusted technical advisor for integrating NVIDIA technologies into biopharma and diagnostics.