Solutions Architect - Drug Discovery

Job Description

Job Title: Solutions Architect - Drug Discovery. Location

• California, USA, Remote
• Massachusetts, USA, Remote

Responsibilities:

• Partner with business and account teams to understand customer goals, scientific workflows, technical requirements, and platform adoption strategies.
• Architect and optimize AI/ML pipelines for training large biological foundation models, focusing on BioNeMo libraries and GPU-accelerated software.
• Build proof-of-concept demonstrations showing how NVIDIA software and hardware can accelerate scientific discovery;
• Collaborate with subject matter experts, engineering, product, and field teams to deliver technical solutions for customers.
• Document best practices 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.

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 at least one of the following: 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, including Slurm and/or Kubernetes-based clusters.
• Excellent communication skills for presenting highly technical material to scientists, engineers, executives, and customer stakeholders.
• Passion for working with customers, continuous learning, and advancing AI for life sciences.

Preferred:

• Experience 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.
• Customer-facing technical leadership experience, including architecture reviews, executive briefings, technical workshops, or deployments at lighthouse accounts.

Benefits and Compensation:

• Base salary for Level 3: $152,000 to $241,500 per year.
• Base salary for Level 4: $184,000 to $287,500 per year.
• Eligible for equity and benefits.
• Opportunity to work on advanced GPU-accelerated computing and AI applications for life sciences.

Other Information:

• Job requisition ID: JR2024819.
• Job category: Sales.
• The posting is for an existing vacancy;
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer.