Developer Relations Manager – AI Platform, MLOps

Job not on LinkedIn

🕒 May 29

🏄 California – Remote

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💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤝 Developer Relations (DevRel)

🦅 H1B Visa Sponsor

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👻 Ghost score 30%

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop and maintain deep technical expertise in MLOps and serve as a trusted technical advisor for ISVs and startups. • Understand partner workloads and integrate NVIDIA software stack components, including libraries, SDKs, NIMs, and blueprints, into partner products and data pipelines. • Deliver measurable performance and scalability improvements. • Drive partner onboarding and co-innovation through reference architectures, sample code, benchmarks, and workshop content. • Engage technical leaders to guide best-practice integrations and solve complex architectural challenges. • Establish collaboration cadences to 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 with solution architects, engineering, product management, and account teams. • Channel actionable field-deployment feedback into NVIDIA product and engineering roadmaps.

🎯 Requirements

• 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 knowledge of the enterprise MLOps lifecycle, including inference serving, scalable deployment, evaluation, governance, and observability pipelines. • Ability to lead complex, multi-stakeholder technical engagements and align cross-functional priorities. • Ability to drive execution across internal teams and external partners. • Experience architecting, integrating, and scaling joint solutions with strategic ISVs or ecosystem partners is preferred. • Excellent communication and stakeholder management skills. • Familiarity with NVIDIA’s accelerated AI stack, including TensorRT-LLM, NeMo, Dynamo, NIM, RAPIDS, run.ai, CUDA-X libraries, and related frameworks. • Experience integrating NVIDIA technologies into production platforms. • Experience partnering with early-stage or high-growth startups/ISVs. • Track record of creating technical solutions, enablement assets, or ecosystem integrations from the ground up.

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity • Benefits

Apply Now

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