Nvidia Senior Developer Relations Manager - Life Science Data Platforms 

United States, Texas 

393525409

What You'll Be Doing:

• 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.

What We Need to See:

• 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, including 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 from engineers to executives.

• 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).

Ways to Stand Out from the Crowd:

• Hands-on experience building or optimizing vertical-specific solutions (e.g., drug discovery data pipelines).

• Familiarity with advanced computing, AI, and/or GPU acceleration platforms (e.g., CUDA, NeMo).

• Track record in crafting and implementing systems for real-time processing and low-latency decision-making.

• Successful history of building and scaling developer communities and delivering impactful technical enablement programs.