NVIDIA

AI

DeveloperRelationsManager,AIPlatformandTools-MLOps

$152–288k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Developer Relations Manager, AI Platform and Tools - MLOps at NVIDIA. Skills: MLOps, AI Platform, Developer Relations, Technical Engagement. Develop technical expertise in MLOps. Serve as technical advisor for ISVs”

What You'll Achieve.

Expand use of NVIDIA's platforms; Deliver measurable performance improvements; Deliver measurable scalability improvements; Accelerate deployment of production-ready solutions; Scale NVIDIA adoption; Strengthen partner engagement; Optimize adoption strategies

Industry & Context.

AI
Problems you'll solve

Solve complex architectural challenges

What They're Looking For.

Must Have

5+ years of experience in the 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 partnering with early-stage or high-growth startups/ISVs, A builder mindset

What You'll Do.

Develop technical expertise in MLOps

Serve as technical advisor for ISVs

Understand partner workloads

Accelerate adoption of NVIDIA stack

Integrate NVIDIA stack into partner products

Drive partner onboarding

Co-innovation through technical assets

Guide best-practice integrations

Solve complex architectural challenges

Establish collaboration cadences

Build strategic ecosystem

Track ecosystem trends

Identify opportunities to scale adoption

Advocate for ecosystem technical requirements

Channel feedback into roadmaps

How You'll Work.

Team & Collaboration

Collaborate cross-functionally with solution architects; Collaborate with engineering teams; Collaborate with product management; Collaborate with account teams; Engage with partner technical leaders

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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