Senior Developer Relations Manager – Agriscience at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Agriscience, Technology, AIIndustries

Requirements

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, including 5+ years of direct hands-on experience with genomic variant analysis, trait discovery, agrochemical molecule virtual screening, domain-specific LLM, etc
Proven experience leading, partnering, and scaling developer programs at major technology companies, agriscience Independent Software Vendors (ISVs), or within relevant verticals
Significant technical proficiency in high-performance and accelerated computing, cloud, AI/ML, and/or agriscience-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)

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
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

Skills

NVIDIA AI

Accelerated Computing

Developer Advocacy

Technical Enablement

Sample Code

Demonstration Pipelines

Partner Onboarding

Ecosystem Mapping

Go-to-Market

Agriscience

Digital Agronomy

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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