NVIDIA is looking for a Senior Solutions Architect to innovate within the healthcare and life sciences sectors across North America. This role focuses on GPU-accelerated simulations for clinical sciences and autonomous labs, partnering with pharmaceutical companies and techbios. The architect will design, implement, and optimize AI software, pushing the boundaries of accelerated computing in life sciences. Candidates should be passionate about leveraging technology to improve patient outcomes and laboratory efficiency.

• MS, PhD, or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, Computational Chemistry, Robotics, or related fields with strong applied experience.
• 8+ years of experience in relevant fields.
• Proven track record in software development for AI/ML, scientific computing, GPU acceleration, or robotics applied to healthcare or life sciences.
• Hands-on experience across at least two of the three focus areas: GPU-accelerated scientific simulation, sim-to-real robotics, and end-to-end agentic AI.
• Proficiency in Python and AI/ML frameworks (PyTorch, LangChain, or custom), with experience in C/C++ and CUDA strongly preferred.
• Experience deploying and scaling GPU-accelerated solutions in cloud or HPC environments (OCI, AWS, Azure, or on-prem clusters).
• Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences.
• Up to 20% travel may be required for on-site customer engagements.

• Guide customers through the end-to-end adoption of GPU-accelerated AI, from requirements gathering to ongoing optimization.
• Architect libraries such as GPU-accelerated solvers for quantitative systems pharmacology.
• Perform low-level CUDA optimization, including custom kernels to accelerate simulation and inference workloads in drug discovery.
• Build physical AI and robotics solutions for autonomous labs and biomanufacturing.
• Design and deploy biomedical agentic AI systems, such as graph-based retrieval and multi-hop clinical reasoning.
• Keep up to date on AI advancements in healthcare, including domain-specific models and robotics.
• Engage with life science executives, IT leaders, data scientists, and developers to drive adoption of NVIDIA AI stack.
• Share findings through training sessions, white papers, blog posts, and conference talks.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.