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Senior Developer Relations Manager – Data Processing, Data Science
NVIDIASenior Developer Relations Manager focusing on championing NVIDIA's AI platforms for data science and processing. Engaging developer ecosystems and facilitating adoption of technology solutions with cross-functional partners.
Posted 5/11/2026full-timeSanta Clara • California • 🇺🇸 United StatesSenior💰 $224,000 - $356,500 per yearWebsite
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Develop and maintain deep technical expertise in data processing and data science
- Serve as the trusted technical advisor, problem solver, and champion for the developer community passionate about data processing and data science
- Work with cross-functional partners to promote adoption of NVIDIA technologies like RAPIDS, CUDA-X Data Processing, and NVComp
- Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and data pipelines, enabling comprehensive multi-cloud, hybrid, and on-prem solutions
- Guide partners through onboarding and integration by providing technical resources — such as sample code, guides, and demo pipelines — to accelerate data processing and data science adoption and foster co-innovation of next-generation solutions
- Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies
- Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, discover new workflows, identify blockers to partner adoption, and channel critical field insights back to NVIDIA product teams
- Closely engage with partners on building strategy and execution plans to grow data processing and data science capabilities into their solutions
- Drive early adoption of new products and support launch and go-to-market activities in collaboration with NVIDIA partner managers, solution architects, industry business development managers, and sales and marketing teams.
Requirements
What you’ll need- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, Mathematics, Physics, or a related field
- A minimum of 12+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 5+ years of direct hands-on experience in data processing, data science, or GPU-accelerated computing
- Proven experience leading, partnering, and scaling developer programs at major technology companies and/or within relevant data processing and data science verticals, including ISVs, data stores, and CSP services
- Significant technical depth in data processing and data science software, including large-scale data systems, cloud and on-prem platforms, and contributions to product integrations and software 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 across sales, legal, product, and marketing teams
- Skilled at distilling complex technical concepts for audiences from engineers to executives, with end-to-end experience defining, integrating, building, and jointly marketing solutions with strategic ISV partners.
Benefits
Comp & perks- Competitive salaries and a generous benefits package
- Generous benefits package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data processingdata scienceGPU-accelerated computinglarge-scale data systemscloud platformson-prem platformssoftware librariesarchitectural designcode reviewstechnical mentorship
Soft Skills
problem solvingtechnical advisingcollaborationcommunicationnegotiationstrategic planningmentorshippresentation skillsrelationship buildingadaptability
Certifications
Bachelor's degreeMaster's degreeComputer ScienceEngineeringMathematicsPhysics