We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging agriscience technology domains. In this pivotal role, you will work directly with software solution providers, developers, global system integrators and industry leaders to champion the adoption of NVIDIA’s advanced AI and accelerated computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world business and technical challenges.
What You'll Be Doing:
- 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.
What We Need to See:
- 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).
Ways to Stand Out from the Crowd:
- 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., BioNeMo, Parabricks, NeMo, RAPIDS, CUDA, etc.).
- Track record in designing 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.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Master's or doctoral degree in Bioinformatics, Biochemistry, Computational Biology, Computational Chemistry, Plant Science, Data Science, or a related field, or equivalent experience
- 8–10 or more years of professional experience in agriscience software engineering, developer relations, or technical partnerships
- At least 5 years of hands-on experience with genomic variant analysis, trait discovery, agrochemical molecule virtual screening, domain-specific LLMs, or related technologies
- Experience leading, partnering, and scaling developer programs at technology companies, agriscience ISVs, or relevant verticals
- Technical proficiency in high-performance computing, accelerated computing, cloud, AI/ML, or agriscience-specific frameworks and libraries
- Excellent interpersonal and communication skills for explaining complex technical concepts to engineers, executives, and other audiences
- Experience leading technical collaborations involving architectural design, code reviews, technical mentorship, and technical talks or workshops
- Ability to structure complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external stakeholders
- Hands-on experience building or optimizing agriscience-specific solutions
- Familiarity with BioNeMo, Parabricks, NeMo, RAPIDS, CUDA, or other GPU acceleration platforms
- Experience designing and implementing real-time, low-latency processing systems
- Track record of building and scaling developer communities and delivering technical enablement programs
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”








