Senior Solutions Architect - Drug Discovery

Nvidia

Remote Actively hiring Verified listing
Remote, US Posted 14 days ago $184,000–$287,500 / year
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At a glance

AI generated

TL;DR

NVIDIA is hiring a Senior Solutions Architect to drive the adoption of GPU-accelerated AI in drug discovery and biological research. This role involves partnering with pharmaceutical and techbio customers across North America to optimize AI/ML pipelines for training large biological foundation models using NVIDIA’s BioNeMo libraries and other accelerated software, aiming to enhance training efficiency and accelerate scientific breakthroughs. The ideal candidate will collaborate internally with experts to deliver high-impact solutions, create proof-of-concept demonstrations, and document best practices through technical enablement and customer workshops. Essential skills include an MS or PhD in a relevant field, 8+ years of experience in deep learning and GPU acceleration, hands-on application of ML in genomics, quantum chemistry, biomaterials science, or structural biology, proficiency with Linux environments and HPC clusters, and strong communication abilities to engage diverse stakeholders effectively.

Skills

NVIDIA GPU AI ML BioNeMo Python Linux Kubernetes Slurm HPC Docker CI/CD PostgreSQL Genomics Quantum Chemistry Biomaterials Science Structural Biology Prometheus Grafana

What you'll do

  • Partner with teams to understand and address customer goals for AI/ML in drug discovery.
  • Architect and optimize AI/ML pipelines using BioNeMo libraries for efficient training.
  • Develop proof-of-concept demonstrations showcasing NVIDIA’s technology in scientific research.
  • Collaborate internally to deliver high-impact technical solutions for customers.
  • Document best practices and train others on integrating NVIDIA technologies into biopharma applications.
  • Serve as a trusted advisor for integrating advanced AI/ML techniques in pharmaceutical workflows.

What we're looking for

  • MS or PhD in a relevant scientific field or equivalent experience.
  • 8+ years of software development for deep learning and GPU-accelerated applications.
  • Hands-on ML experience in genomics, quantum chemistry, biomaterials science, or structural biology.
  • Expertise in profiling and optimizing large AI model training workflows.
  • Proficiency with Linux environments and HPC/accelerated computing clusters.
  • Strong communication skills for technical presentations to diverse audiences.

Market check

Salary context

This $184,000–$287,500 range sits above 83% of similar postings on FindRole.

Peer median band

$152,000–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$162,874–$235,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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