Senior Solutions Architect, Simulations - Clinical Sciences and Autonomous Lab

Job description

NVIDIA is seeking a Senior Solutions Architect to drive innovation with healthcare and life sciences customers across North America, focusing on GPU-accelerated simulations for clinical sciences and autonomous labs. As a pioneer in accelerated computing, NVIDIA empowers pharmaceutical, biotech, and healthcare organizations to unlock new possibilities in patient modeling, laboratory and biomanufacturing robotic systems, and multi-agent reasoning. In this role, you will partner with leading pharmaceutical companies, techbios, and software builders to design, implement, and optimize GPU-accelerated AI software. If you are passionate about pushing the limits of accelerated computing in life sciences, we want to hear from you!

What you will be doing:

• Guide customers through the end-to-end adoption of GPU-accelerated AI, from requirements gathering and proof-of-concept development to deployment, integration, and ongoing optimization.

• Architect libraries such as GPU-accelerated solvers for quantitative systems pharmacology and CPU-to-GPU migration of scientific workloads.

• Perform low-level CUDA optimization, including custom kernels to accelerate simulation and inference workloads in drug discovery

• Building physical AI and robotics solutions for autonomous labs and biomanufacturing such as sim-to-real VLA pipelines, real-time control layers, and integration of perception, control, and policy stacks on NVIDIA platforms.

• Designing and deploying biomedical agentic AI systems, such as graph-based retrieval, multi-hop clinical reasoning, and persistent agent memory

  This is an excerpt. Read the full job description on Nvidia careers →