NVIDIA
AI Platform and Tools
DeveloperRelationsManager,AIPlatformandTools
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“Developer Relations Manager, AI Platform and Tools at NVIDIA. Skills: Developer Relations, AI Platform, Data Platform Engineering, Technical Engagement. Develop technical expertise in data platform engineering. Serve as trusted technical advisor for ISVs and startups”
What You'll Achieve.
Expand the use of NVIDIA's AI and accelerated computing platforms; Deliver measurable performance and scalability improvements; Accelerate deployment of production-ready solutions; Inform NVIDIA product and platform strategy; Scale NVIDIA adoption and ecosystem growth; Strengthen partner engagement; Optimize adoption strategies
Industry & Context.
Solve complex architectural challenges
What They're Looking For.
Must Have
Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience, 5+ years of experience in the technology industry across software engineering, developer relations, technical partnerships, solutions architecture, or product management, 3+ years of hands-on experience in AI, Deep domain knowledge across enterprise data platform, including data engineering and pipeline acceleration, post-training data preparation and curation, data pipeline for RAG and semantic search, Proven ability to lead complex, multi-stakeholder technical engagements, align cross-functional priorities, and drive execution across internal teams and external partners, Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both engineering and executive audiences
Nice to Have
Experience architecting, integrating, and scaling joint solutions with strategic ISVs or ecosystem partners, Deep familiarity with NVIDIA’s accelerated AI stack, RAPIDS, NeMo Curator, NeMo Data Designer, NeMo Retriever, cuDF, cuML, cuGraph, cuVS and other frameworks and CUDA-X libraries, with experience integrating them into production platforms, Experience partnering with early-stage or high-growth startups/ISVs in fast-paced, ambiguous environments, A builder mindset, with a track record of creating technical solutions, enablement assets, or ecosystem integrations from the ground up
What You'll Do.
Develop technical expertise in data platform engineering
Serve as trusted technical advisor for ISVs and startups
Understand partner workloads and accelerate adoption
Integrate NVIDIA software stack into partner products
Drive partner onboarding and co-innovation
Create technical enablement assets
Engage with partner technical leaders
Solve complex architectural challenges
Establish collaboration cadences
Build and expand strategic ecosystem
Track ecosystem and technology trends
Identify opportunities to scale NVIDIA adoption
Collaborate cross-functionally with teams
Advocate for ecosystem technical requirements
Channel feedback into NVIDIA roadmaps
How You'll Work.
Team & Collaboration
Collaborate cross-functionally with solution architects, engineering, product management, and accounts teams; Engage with partner technical leaders; Align cross-functional priorities
Communication Scope
Excellent communication skills; Ability to explain complex technical concepts to engineering and executive audiences
Full Job Description
We are seeking a Developer Relations Manager to lead strategic engagement within the horizontal AI platform and tools ecosystem in North America. In this role, you'll partner with companies working on data platform engineering to expand the use of NVIDIA's AI and accelerated computing platforms. We're looking for someone with deep technical depth in production AI systems who can guide partner product direction, drive library integration, and support them building on NVIDIA technologies. If you're passionate about influencing the next wave of AI companies, we'd love to hear from you. **What You 'll Be Doing:** * Develop and maintain deep technical expertise in data platform engineering, serve as the trusted technical advisor for ISVs and startups building in that space. * Understand partner workloads and accelerate adoption by integrating the NVIDIA software stack including libraries, SDKs, NIMs, and blueprints, into partner products and data pipelines, delivering measurable performance and scalability improvements. * Drive partner onboarding and co-innovation through technical enablement assets such as reference architectures, sample code, benchmark, and workshop content that accelerate deployment of production-ready solutions. * Engage with partner technical leaders to guide best-practice integrations, solve complex architectural challenges, and establish structured collaboration cadences that surface emerging workflows and inform NVIDIA product and platform strategy. * Build and expand a strategic ecosystem of AI platform and tools partners, track ecosystem and technology trends, and identify opportunities to scale NVIDIA adoption and ecosystem growth. * Collaborate cross-functionally with solution architects, engineering, product management, and accounts teams to strengthen partner engagement and optimize adoption strategies. * Advocate for ecosystem technical requirements by channeling actionable feedback from field deployments into NVIDIA product and engineerin
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