Solutions Architect - Deep Learning for Drug Discovery

Details

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.

Responsibilities

• Partner with business/account teams and customers to understand goals, strategies, and technical needs, and help define and deliver high-value solutions.
• Stay up to date on state-of-the-art production deep learning and machine learning methods.
• Architect and scale high-performance, distributed AI deployments built on NVIDIA GPU supercomputers.
• Build proof-of-concept demonstrations and scale AI deployments for customers.
• Document knowledge and teach others: build targeted training, write whitepapers, blogs, wiki articles, and collaborate with customers to solve hard problems.
• Act as an industry leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications (e.g., medical imaging, drug discovery).
• Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA’s computing platform.
• Use conferencing tools extensively and travel as required to support customers.

Requirements

• MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or a related field with strong applied experience.
• 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.
• Proficiency with the Linux/GNU toolchain and experience 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; comfortable interacting with forward-thinking people and staying at the forefront of the domain.

Ways to stand out

• 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 (a plus).
• Experience in the pharmaceutical industry or working with customers/partners in the pharmaceutical domain (a plus).
• Published record of thought leadership in a technical area or industry segment.

Compensation & Benefits

• Base salary ranges: 148,000 USD - 235,750 USD for Level 3; 184,000 USD - 287,500 USD for Level 4. Base salary will be determined based on location, experience, and the pay of employees in similar positions.
• Eligible for equity and benefits (link to company benefits referenced).

Additional Info

• Applications accepted at least until October 25, 2025.
• NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment. The company does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.