NVIDIA is seeking a Senior Product Architect - Platforms, Genomics and Life Sciences to lead the strategy and technical delivery of developer ecosystem strategies. In this role, you will define and implement a technical strategy to enable genomics and bioinformatics researchers, developers, and DevOps engineers to adopt and scale NVIDIA technologies.

What You'll Do

Build joint solutions with ISV and platform partners to enhance the experience for researchers, bioinformatics engineers, and model developers.
Immerse yourself in CUDA-X libraries and NVIDIA AI, becoming an expert in the SDKs, services, and workflows.
Develop proof-of-concepts and technical reference examples, contributing to community tools with ISV, CSP, and NCP partners.
Lead technical platform integration roadmaps, while jumping in to solve technical issues as partners integrate with NVIDIA Digital Biology Solutions.
Work closely with NVIDIA product managers and engineering leads to refine and expand NVIDIA solutions.
Document knowledge and guide others through building targeted reference examples, writing whitepapers, blogs, and working through problems with customers.
Engage with the external community to provide usability feedback to internal teams to improve product capabilities.

What We're Looking For

Bachelor’s degree or equivalent experience in a field such as Computer Science, Computer Engineering, or Life Sciences.
12+ years of meaningful work experience in software development, technical evangelism, technical marketing, or similar.
3+ years of relevant experience or deep domain expertise in life sciences, omics, or accelerated computing.
Community acceptance in the omics and HPC computing ecosystem as a technical contributor and leader.
A consistent track record of collaborating on technical projects with multi-functional teams.
Hands-on software development experience deploying and scaling containerized workflows on the cloud and on prem.
Proven strength in delivering presentations to technical partners and producing high‑quality content for developers.
A keen sense for product vision and an ability to translate product value propositions to compelling demonstrations.
Strong passion for staying updated with the latest technological advancements in AI and related fields.

Nice to Have

Experience with NVIDIA GPUs and SDKs, particularly Parabricks or RAPIDS.
Proven track record leading high‑impact technical initiatives.
Hands‑on experience deploying production omics workflows for applications such as next‑generation sequencing or precision medicine.
Demonstrated experience in building and deploying AI agents to optimize and automate scientific workflows.
Published technical thought leadership—e.g, GitHub contributions, open‑source involvement, or active participation in technical communities.