NVIDIA
Technology
DeveloperRelationsManager,AIPlatformandTools-MLOps
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“Developer Relations Manager, AI Platform and Tools - MLOps at NVIDIA. Skills: MLOps, AI Platform, Developer Relations, Technical Partnerships. Develop and maintain deep technical expertise in MLOps. Serve as trusted technical advisor for ISVs and”
What You'll Achieve.
Expand use of NVIDIA's AI and accelerated computing platforms; Deliver measurable performance and scalability improvements; Accelerate deployment of production-ready solutions; Scale NVIDIA adoption and ecosystem growth
Industry & Context.
Solve complex architectural challenges
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience, 5+ years of experience in technology industry, 3+ years of hands-on experience in AI, Deep domain knowledge across enterprise MLOps lifecycle, Proven ability to lead complex, multi-stakeholder technical engagements, Excellent communication and stakeholder management skills
Nice to Have
Experience architecting, integrating, and scaling joint solutions with strategic ISVs or ecosystem partners, Deep familiarity with NVIDIA’s accelerated AI stack, Experience integrating NVIDIA stack into production platforms, Experience partnering with early-stage or high-growth startups/ISVs, A builder mindset, Track record of creating technical solutions, enablement assets, or ecosystem integrations from the ground up
What You'll Do.
Develop and maintain deep technical expertise in MLOps
Serve as trusted technical advisor for ISVs and
Understand partner workloads
Accelerate adoption by integrating NVIDIA software stack
Integrate NVIDIA stack into partner products and data
Deliver measurable performance and scalability improvements
Drive partner onboarding and co-innovation
Create technical enablement assets
Accelerate deployment of production-ready solutions
Engage with partner technical leaders
Guide best-practice integrations
Solve complex architectural challenges
Establish structured collaboration cadences
Surface emerging workflows
Inform NVIDIA product and platform strategy
Build and expand strategic ecosystem of AI platform
Track ecosystem and technology trends
Identify opportunities to scale NVIDIA adoption
Collaborate cross-functionally with solution architects
Strengthen partner engagement
Optimize adoption strategies
Advocate for ecosystem technical requirements
Channel actionable feedback from field deployments into NVIDIA
How You'll Work.
Team & Collaboration
Cross-functionally; Solution architects; Engineering teams; Product management; Account teams; Internal teams; External partners
Communication Scope
Explain complex technical concepts
Full Job Description
We're hiring 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 MLOps 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 to 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 MLOps, 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 account 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 engineering roadmaps. **What We Need to See:** * Bachelor’
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