Senior Product Architect - Platforms Genomics and Life Sciences
NVIDIA
Job Overview
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Job Description
Overview
NVIDIA seeks a highly collaborative community leader to drive strategy and technical delivery for Biological Science platforms and applications. In this role, the Senior Product Architect - Platforms Genomics and Life Sciences will define and implement a technical strategy and platform plan to empower genomics and bioinformatics researchers, developers, and DevOps engineers to adopt and scale NVIDIA technologies across ISVs, platforms, and instruments.
Key Responsibilities
- Build joint solutions with ISV and platform partners for researchers and engineers.
- Deep dive into CUDA-X libraries, SDKs, services, and workflows.
- Develop proof-of-concepts and technical reference examples.
- Lead technical platform integration roadmaps while resolving integration challenges.
- Collaborate with product managers and technical teams to enhance NVIDIA offerings.
- Document insights through whitepapers, blogs, and technical guides.
- Engage with the external community to provide usability feedback.
Requirements
A Bachelor’s degree or equivalent in Computer Science, Engineering, or Life Sciences, along with 12+ years of work experience in software development, technical evangelism, or technical marketing. At least 3 years of domain expertise in life sciences, omics, or accelerated computing is essential. The role requires demonstrated hands-on software development, containerized workflow deployment, and an ability to present technical content to partners.
Preferred Qualifications
Experience with NVIDIA GPUs and SDKs such as Parabricks or RAPIDS, leading high-impact technical initiatives, and deploying production omics workflows. Contributions in technical communities, open-source projects, or GitHub repositories will be highly regarded.
Compensation and Benefits
Base salary range is between 224,000 USD and 356,500 USD, with additional equity and benefits. Applications are accepted until February 13, 2026.
Key skills/competency
- Community Leadership
- Technical Strategy
- GPU Architectures
- Data AI Cloud
- Omics Technologies
- Bioinformatics
- Containerized Workflows
- HPC
- Proof-of-Concept
- Technical Documentation
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study mission, values, and recent news.
- Customize your resume: Highlight GPU, AI, and omics experience.
- Demonstrate technical prowess: Showcase proof-of-concepts and technical leadership.
- Prepare for technical interviews: Practice problem-solving and case studies.
- Network strategically: Connect with employees on LinkedIn and Glassdoor.
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