Job Description

Solutions Architect - Deep Learning for Drug Discovery

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NVIDIA is seeking a Solutions Architect to join our team, focused on redefining the biopharma industry through AIpowered 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 NVIDIAs computing platform. Our solutions architects are elite developers and scientists who thrive in a fastpaced environment, applying deep learning, machine learning, and highperformance computing to solve complex scientific challenges. You will play a pivotal role in driving innovation by building proofofconcept 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.

What You Will Be Doing

• You will partner with our business/account team to develop a keen understanding of customers goals, strategies, and technical needs, and help define and deliver highvalue solutions.
• Stay up to date on the state of the art in production deep learning and machine learning methods, and help architect and scale highperformance, distributed AI deployments on NVIDIA GPU supercomputers.
• Document knowledge and teach othersbuild training for partners, write whitepapers, blogs, wiki articles, and work through hard problems with customers on a whiteboard.
• Be an industry leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications such as medical imaging or drug discovery.
• Strategically partner with lighthouse customers and industryspecific solution partners to target our computing platform.
• Travel as required, but you are empowered to find the best way to get your job done and make customers successful.

What We Need To See

• MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or related fields.
• 5+ years of experience in software development of deep learning or GPU acceleration methods for scientific applications.
• 3+ years of experience with deep learning software architecture, frameworks, or highperformance computing applications.
• Proficiency in the Linux/GNU toolchain and operating in HPC cluster environments.
• Fullstack scientific computing experience, including development in Python, C/C++, and/or CUDA.
• Excellent communication skills, particularly in presenting highly technical material; enjoy interacting with forwardthinking people and staying at the forefront of the domain.

Ways To Stand Out From The Crowd

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

NVIDIA is widely considered to be one of the technology worlds most desirable employers. We have some of the most forwardthinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD 235,750 USD for Level 3, and 184,000 USD 287,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 25, 2025. NVIDIA is committed to fostering a diverse work environment and is proud to be an equalopportunity employer. We value diversity in our employees and do 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.

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