Solutions Architect - Deep Learning for Drug Discovery

NVIDIA

75d • $148,000 - $287,500

About The Position

NVIDIA is seeking a Solutions Architect to join our team, focused on redefining the biopharma industry through AI-powered drug discovery. As a trusted technical advisor, you will collaborate with leading pharmaceutical companies, biotechs, and research organizations across North America to accelerate breakthroughs in healthcare using NVIDIA’s computing platform. Our solutions architects are elite developers and scientists who thrive in a fast-paced environment, applying deep learning, machine learning, and high-performance computing to solve complex scientific challenges. You will play a pivotal role in driving innovation by building proof-of-concept demonstrations, scaling AI deployments, and fostering relationships with key customers. This position offers the opportunity to work on groundbreaking projects that are revolutionizing how drugs are discovered and developed. If you are passionate about AI and computational science and have a background in life sciences or related fields, we invite you to help shape the future of healthcare with NVIDIA.

Requirements

• MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, or Biophysics.
• 5+ years of work-related experience in software development of deep learning or GPU acceleration methods for scientific applications.
• 3+ years of work-related experience with deep learning software architecture and frameworks or high-performance computing applications.
• Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments.
• Full-stack scientific computing experience including software development in scientific programming languages such as Python, C/C++, and/or CUDA.
• Excellent communication skills, particularly in presenting highly technical material.
• Enjoy interacting with forward-thinking people and a commitment to lifelong learning.

Nice To Haves

• Demonstrated work in training and inference at scale and expertise in accelerated computing with GPU.
• Cloud platform expertise on AWS, Azure, and/or GCP.
• Experience with genomics, virtual cells, or molecular dynamics.
• Experience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain.
• Published record of thought leadership in a technical area or industry segment.

Responsibilities

• Partner with business/account team to understand customer goals, strategies, and technical needs.
• Define and deliver high-value solutions to meet customer needs.
• Stay updated on production deep learning and machine learning methods.
• Architect and scale high-performance, distributed AI deployments on NVIDIA GPU supercomputers.
• Document knowledge and teach others through training, writing whitepapers, blogs, and wiki articles.
• Integrate NVIDIA technology into AI and HPC architectures for advanced applications.
• Strategically partner with lighthouse customers and industry-specific solution partners.
• Utilize conferencing tools and travel as required to support customers.

Benefits

• Equity and benefits package.
• Base salary range of 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

What This Job Offers

• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees