Senior AI Solutions Architect - Genomics (Equity)

NVIDIA AI; California (MO); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Solutions Architect to help redefine drug discovery and biological research through GPU-accelerated AI. You will empower pharmaceutical and techbio customers to train, optimize, and deploy large biological foundation models using NVIDIA’s platform.

This role involves collaborating with scientists and engineers across North America, delivering proof-of-concept demos, and sharing best practices via workshops, whitepapers, and training.

Qualifications

• MS or PhD in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, Computer Science, or a related technical field (or equivalent experience).
• 5+ years of experience in software development for deep learning, GPU acceleration, or scientific computing applications.
• Hands-on experience applying ML to 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.

Responsibilities

• 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.

Skills

Communication skills

ML/AI

Cross-functional collaboration

Public speaking

Education

MS or PhD in Computational Biology/Computational Chemistry/Computational Physics/Chemical Engineering/Biophysics/CS

Tools

Slurm

Kubernetes

Job description

NVIDIA is seeking a Senior Solutions Architect to help redefine drug discovery and biological research through GPU-accelerated AI. You will empower pharmaceutical and techbio customers to train, optimize, and deploy large biological foundation models using NVIDIA’s platform.

This role involves collaborating with scientists and engineers across North America, delivering proof-of-concept demos, and sharing best practices via workshops, whitepapers, and training.