Solutions Architect: GPU-Accelerated AI for Drug Discovery

NVIDIA Corporation; Northern (KY); Hybrid; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Corporation seeks a Senior Solutions Architect to drive GPU-accelerated AI in drug discovery and bio research. You will help customers train, optimize, and deploy large biological models using BioNeMo and NVIDIA libraries, while guiding strategic platform adoption.

You will engage North American biopharma and techbio teams, delivering high‑impact pipelines and enabling scalable, efficient workflows with deep domain knowledge and technical leadership.

Qualifications

• MS or PhD in computational biology, computational chemistry, computational physics, chemical engineering, biophysics, computer science, or related field.
• 5+ years in software development for deep learning, GPU acceleration, or scientific computing.
• Hands-on ML experience in genomics, quantum chemistry, biomaterials, or structural biology.
• Experience profiling and optimizing training workflows for large AI models and HPC environments.
• Excellent communication skills for presenting technical material to scientists and executives.

Responsibilities

• Architect and optimize AI/ML pipelines for training large biological foundation models.
• Build proof‑of‑concept demonstrations showing NVIDIA software acceleration.
• Collaborate with engineering, product, and field teams and enable customer engagements.

Skills

DL software dev

GPU acceleration

Scientific computing

Linux proficiency

HPC environments

Communication skills

Education

MS/PhD in Computational Biology

Tools

Slurm

Kubernetes

Job description

NVIDIA Corporation seeks a Senior Solutions Architect to drive GPU-accelerated AI in drug discovery and bio research. You will help customers train, optimize, and deploy large biological models using BioNeMo and NVIDIA libraries, while guiding strategic platform adoption.

You will engage North American biopharma and techbio teams, delivering high‑impact pipelines and enabling scalable, efficient workflows with deep domain knowledge and technical leadership.