Solutions Architect, Generative AI Specialist
NVIDIA
Cloud
Senior Developer Relations Manager, Life Science Data Platforms
NVIDIA
full-time
Posted on:
Origin: • 🇺🇸 United States • California, District of Columbia, Massachusetts, New York, Pennsylvania
Visit company websiteSalary
💰 $184,000 - $356,500 per year
Job Level
Senior
Tech Stack
Cloud
About the role
- Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in life science data platforms, with multi-functional partners to drive adoption of NVIDIA technologies.
- Accelerate critical workloads by demonstrating ground-breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
- Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems for laboratory informatics, agentic agents, lab-in-the-loop workflows, and reinforcement learning.
- Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.
- Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
- Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
- Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote best practices for successful integrations.
- Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
Requirements
- Master’s or Ph.D. degree in computational chemistry, computational biology, computer science, or a related field (or equivalent experience).
- A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships.
- 5+ years of direct hands-on experience in drug discovery, data automation, laboratory informatics, and agentic agents.
- Proven experience leading, partnering, and scaling developer programs at major technology companies, life science data platform ISVs, or within relevant verticals.
- Significant technical proficiency with data platforms in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.
- Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences.
- Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
- Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).
- Preferred: Hands-on experience building or optimizing vertical-specific solutions (e.g., drug discovery data pipelines).
- Preferred: Familiarity with advanced computing, AI, and/or GPU acceleration platforms (e.g., CUDA, NeMo).
- Preferred: Track record in crafting and implementing systems for real-time processing and low-latency decision-making.
- Preferred: Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
