Senior Solutions Architect - Healthcare and Life Sciences

NVIDIA • Santa Clara, CA

6d

About The Position

NVIDIA is seeking a Senior 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 researchers and scientists from NVIDIA and a leading pharmaceutical company to accelerate breakthroughs in drug discovery using NVIDIA’s computing platform. You will play a pivotal role in driving innovation by building proof-of-concept demonstrations, scaling AI deployments, and fostering relationships with key researchers. 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 in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains (or equivalent experience).
• 5+ years of relevant experience in software development of high-performance computing for scientific applications.
• Demonstrated ability accelerating scientific simulations using AI methods (e.g., AI-driven molecular dynamics or physics-informed neural networks) and managing the associated software architecture.
• Expertise in running compute environments using schedulers (Slurm, Kubernetes) and containerization technologies (Docker, Singularity/Apptainer) for reproducible scientific workflows.
• Hands-on experience with major molecular dynamics or quantum chemistry packages (e.g., GROMACS, NAMD, AMBER, VASP, Gaussian) and their optimization on GPU architectures.
• 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 the presentation of highly technical material.
• Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain

Nice To Haves

• Demonstrated work in scientific computing at scale in cheminformatics, bioinformatics or drug discovery.
• Experience with molecular dynamics, docking, electronic structure methods, or major projects related to drug discovery are a plus
• Experience in the biopharma industry or with customers/partners in the pharmaceutical domain, specifically navigating complex research environments.
• Published record of thought leadership in a technical area or industry segment.

Responsibilities

• You will partner with researchers and scientists to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
• Staying up on the state of the art in the production AI and HPC for scientific applications while helping architect and scale high-performance, distributed, AI HPC deployments built on the latest NVIDIA GPU supercomputers.
• Be an industry leader with a vision of integrating NVIDIA technology into AI and HPC architectures for advanced applications in scientific computing.
• Building, running, and deploying large scale workloads on NVIDIA Supercomputers.

Benefits

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
• You will also be eligible for equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees