# Senior Developer Relations Manager, Retail and CPG - Physical AI at NVIDIA

NVIDIA is hiring a Senior Developer Relations Manager, Retail and CPG - Physical AI in Santa Clara, United States. Level rates it Works on AI ●●●○; you can [apply on NVIDIA](https://jobsbylevel.com/go/52b12244-0fca-4f4b-895c-840b6fdf065a?utm_medium=ai-agent).

AI Level 3, AI centrality 70 out of 100. US, CA, Santa Clara.

## Details

- Company: [NVIDIA](https://jobsbylevel.com/companies/nvidia)
- AI level: AI Level 3 (score 70 out of 100)
- Location: US, CA, Santa Clara
- Posted: November 5, 2026
- Apply: https://jobsbylevel.com/go/52b12244-0fca-4f4b-895c-840b6fdf065a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-developer-relations-manager-retail-and-cpg-physical-ai-at-nvidia-689f92

## Prepare for this job

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## Description

We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to champion the adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What You'll Be Doing: Develop and maintain extensive technical knowledge in Retail & CPG intelligent stores and Physical AI. Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in Retail & CPG, with multi-functional partners to drive adoption of NVIDIA technologies. Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines. Guide partners through onboarding and integration by providing technical resources—such as sample code, guides, and demo pipelines to accelerate Retail & CPG intelligent-store and Physical AI adoption and develop co-innovation of next-generation solutions. Assess the developer ecosystem to identify emerging opportunities and adoption trends. Partner with engineering, product management, and marketing to influence roadmaps and accelerate partner adoption. Collaborate with partner technical leaders to accelerate integrations and solve complex technical challenges. Drive adoption, uncover new workflows, and translate field insights into actionable feedback for NVIDIA product teams. Drive technical adoption of NVIDIA Metropolis, DeepStream, TAO, Triton/NIM, and vision-language models for intelligent-store applications. Enable use cases across shelf availability, product recognition, checkout, loss prevention, customer flow, and store operations while addressing accuracy, latency, privacy, and deployment constraints. Accelerate Physical AI adoption using NVIDIA Omniverse, OpenUSD, Isaac, Cosmos, and simulation and synthetic-data workflows. Enable store and warehouse robotics, autonomous systems, and digital twins by connecting perception, simulation, and real-world actions across GPU and edge platforms such as Jetson Create and maintain open-source reference implementations, blueprints, and benchmarks. Demonstrate measurable technical and economic value at GTC, NRF, and ecosystem events through performance, deployment efficiency, developer adoption, partner integrations, and production readiness. What We Need to See: Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, 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 architect, product management, including 5+ years of direct hands-on experience in computer vision, video AI, robotics, or Physical AI, ideally applied to Retail & CPG environments. Proven experience leading, partnering, scaling developer programs at major technology companies, and Retail & CPG, computer vision, or robotics ISVs, or within relevant verticals. Significant technical depth in computer vision and Physical AI software including video analytics, multimodal/VLM approaches, robotics, simulation and synthetic data, digital twins, and GPU-accelerated edge-to-cloud inference, 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 with internal or external

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