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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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The Senior Developer Relations Manager – Agriscience joins the team to champion the adoption of advanced AI and accelerated computing platforms across the agriscience domain. This role involves serving as a technical advisor for software solution providers, developers, and global system integrators to solve complex problems in seeds and traits, crop protection, plant nutrition, and digital agronomy. You will build demonstration pipelines, provide sample code, and guide partners through onboarding to integrate the core NVIDIA stack into their products. Key requirements include proficiency in high-performance computing, cloud, AI/ML, and specific frameworks like BioNeMo, Parabricks, NeMo, RAPIDS, and CUDA. You will also manage developer ecosystems, conduct code reviews, and provide technical mentorship to influence product roadmaps based on field deployments.
Serve as a technical advisor to the agriscience developer ecosystem to drive adoption of NVIDIA technologies.
Demonstrate groundbreaking solutions that integrate the NVIDIA stack into developer products, platforms, and pipelines.
Provide technical enablement resources including sample code, guides, and demonstration pipelines for agriscience problems.
Guide partners and startups through onboarding and integration with NVIDIA programs to foster co-innovation.
Map and monitor the developer ecosystem to identify growth opportunities and inform technology roadmaps.
Engage with partner engineering teams to solve technical challenges and promote standard integration processes.
Advocate for partner technical needs by providing actionable field feedback to internal product and engineering teams.
What we're looking for
Master’s or Doctor’s degree in Bioinformatics, Biochemistry, Computational Biology, Computational Chemistry, Plant Science, Data Science, or a related field (or equivalent experience).
Minimum of 8-10+ years of professional experience in the agriscience industry in software engineering, developer relations, or technical partnerships.
Minimum of 5+ years of direct hands-on experience with genomic variant analysis, trait discovery, agrochemical molecule virtual screening, or domain-specific LLMs.
Proven experience leading, partnering, and scaling developer programs at major technology companies, agriscience ISVs, or relevant verticals.
Significant technical proficiency in high-performance and accelerated computing, cloud, AI/ML, and agriscience-specific frameworks and libraries.
Experience leading technical collaborations including architectural design, code reviews, technical mentorship, and delivering technical talks or workshops.
Proven ability to structure complex technical engagements, negotiate requirements, and collaborate with internal or external stakeholders.
Hands-on experience building or optimizing industry vertical-specific solutions (preferred).