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Strong fit if you enjoy customer-facing architecture for AI/HPC in life sciences, can speak both scientist and engineer languages, and want NVIDIA’s accelerated-computing stack as the platform. Weaker fit if you prefer pure research coding or fully remote-only California work (listing is on-site/hybrid flag remote=0).
As a Senior Solutions Architect focused on drug discovery at NVIDIA, a typical day centers on translating life-sciences R&D needs into GPU-accelerated AI/HPC architectures: discovery workshops with pharma or biotech stakeholders, reference designs for molecular modeling or screening pipelines, demos and POCs on NVIDIA stacks, and tight collaboration with sales and product teams to land production paths. Expect deep technical storytelling more than pure coding tickets.
Prioritize: GPU/AI systems literacy, scientific computing or chemoinformatics exposure, solution design and stakeholder workshops, and clear technical communication. No certification family or costed resources were supplied—skip paid cert shopping until NVIDIA or role-specific guidance is given.
The listing places it in California, United States, with remote set to no—not a fully remote role in the data.
Nvidia builds GPUs, SoCs, and APIs for AI, HPC, data science, mobile, and automotive use cases (Wikipedia overview).
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Website: nvidia.com
Nvidia Corporation is an American multinational technology company headquartered in Santa Clara, California. The company develops graphics processing units (GPUs), systems on chips (SoCs), and application programming interfaces (APIs) for data science, high-performance computing, artificial intelligence (AI), and mobile and automotive applications. Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, Nvidia has been widely described as a Big Tech company.
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NVIDIA is looking for a Senior Solutions Architect focused on Drug Discovery to join its accelerated computing organization in California. In this role, you will work directly with leading pharmaceutical and biotechnology companies to architect and deploy AI-powered solutions that transform modern research. About the Role This is a strategic technical position where you'll bridge NVIDIA's GPU-accelerated computing platform and the drug discovery industry. You'll partner with customers across the pharmaceutical and techbio sectors to implement and optimize foundation models—turning cutting-edge AI research into production-ready discovery pipelines. What You'll Do Engage with pharmaceutical and biotechnology customers to understand their research challenges and design GPU-accelerated solutions that address them Guide customers through the full lifecycle of biological foundation models—from training and fine-tuning to deployment and scaling Demonstrate the value and performance of NVIDIA's accelerated computing stack, including GPUs, frameworks, libraries, and specialized AI models Collaborate with internal engineering, product, and research teams to ensure customer success and gather feedback for platform improvements Author technical content, reference architectures, and best practices that help customers adopt NVIDIA's solutions for drug discovery workflows Support pre-sales and post-sales activities, from technical evaluations through production implementations What You'll Bring Deep technical expertise in machine learning, AI, and accelerated computing on GPUs Background in computational biology, biochemistry, drug discovery, or related life sciences disciplines Experience architecting and deploying large-scale AI models in production environments Strong communication skills and ability to translate complex technical concepts for diverse audiences Proven track record working with enterprise customers in regulated industries Familiarity with NVIDIA platforms, CUDA, or related GPU compute frameworks is a plus About NVIDIA NVIDIA is the global leader in AI computing. The company's GPU-accelerated platform powers research, enterprise AI, and accelerated computing across virtually every industry. NVIDIA's innovations in accelerated computing are helping solve humanity's most complex challenges. How to Apply Ready to make an impact on drug discovery? Apply through this listing to join NVIDIA's team in California.
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