Engage developer ecosystems across emerging technology domains and champion the adoption of NVIDIA’s advanced AI and accelerated computing platforms.
Requirements
- 5+ years of direct hands-on experience with genomic variant analysis, trait discovery, agrochemical molecule virtual screening, domain-specific LLM, etc.
- Significant technical proficiency in high-performance and accelerated computing, cloud, AI/ML, and/or agriscience-specific frameworks and libraries.
- 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).
- Hands-on experience building or optimizing industry vertical-specific solutions (e.g., seeds and traits, crop protection, plant nutrition, digital agronomy, etc.).
- Familiarity with advanced computing, AI, and/or GPU acceleration platforms (e.g., BieNeMo, Parabricks, NeMo, RAPIDS, CUDA, etc.).
- Track record in designing and implementing systems for real-time processing and low-latency decision-making.
Responsibilities
- Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in agriscience, e.g., seeds and traits, crop protection, plant nutrition, digital agronomy, with cross-functional partners to drive adoption of NVIDIA technologies.
- Accelerate critical workloads by demonstrating groundbreaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
- Advise on technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world agriscience innovation problems.
- 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 standard processes for successful integrations.
Other
- Master’s or Doctor’s degree in Bioinformatics, Biochemistry, Computational Biology, Computational Chemistry, Plant Science, Data Science, or a related field (or equivalent experience).
- A minimum of 8-10+ years of overall professional experience in the agriscience industry in software engineering, developer relations, technical partnerships
- Proven experience leading, partnering, and scaling developer programs at major technology companies, agriscience Independent Software Vendors (ISVs), or within relevant verticals.
- Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.
- Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
