Senior Developer Relations Manager, Retail and CPG - Physical AI

NVIDIA•Santa Clara, CA

About The Position

NVIDIA is seeking a highly technical and strategic Senior Developer Relations Manager focused on Retail & CPG and Physical AI. The role engages software solution providers, developers, and industry professionals to champion adoption of NVIDIA AI and computing platforms. It combines technical expertise, developer advocacy, and the ability to communicate how NVIDIA technology addresses real-world challenges. The position serves as a trusted technical advisor and champion for the Retail & CPG developer ecosystem, working with cross-functional partners to drive adoption. It accelerates workloads by integrating NVIDIA software tools, libraries, SDKs, NIMs, and blueprints into partner products, platforms, and pipelines. The manager guides partners through onboarding and integration with technical resources such as sample code, guides, and demo pipelines, and supports co-innovation of next-generation solutions. The role assesses ecosystem opportunities and adoption trends, collaborates with engineering, product management, and marketing to influence roadmaps, and works with partner technical leaders to resolve complex challenges. It drives adoption of NVIDIA Metropolis, DeepStream, TAO, Triton/NIM, and vision-language models for intelligent-store use cases, while addressing accuracy, latency, privacy, and deployment constraints. It also advances Physical AI adoption through Omniverse, OpenUSD, Isaac, Cosmos, simulation, and synthetic-data workflows for store and warehouse robotics, autonomous systems, and digital twins across GPU and edge platforms such as Jetson. The manager creates and maintains open-source reference implementations, blueprints, and benchmarks, and demonstrates measurable technical and economic value at GTC, NRF, and other ecosystem events. The role is part of NVIDIA’s growing Developer Relations teams. The posting describes competitive salaries, equity, and benefits. Applications will be accepted at least until November 9, 2026; the posting is for an existing vacancy.

Requirements

Bachelor’s or Master’s degree, or equivalent experience, in Computer Science, Engineering, or a related field.
At least 12 years of overall professional experience in the technology industry in areas such as software engineering, developer relations, technical partnerships, solutions architecture, or product management.
At least 5 years of direct hands-on experience in computer vision, video AI, robotics, or Physical AI; Retail & CPG experience is desirable.
Experience leading, partnering in, or scaling developer programs at major technology companies, 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 or vision-language-model approaches, robotics, simulation and synthetic data, digital twins, and GPU-accelerated edge-to-cloud inference.
Experience contributing to product integrations and software libraries.
Experience leading technical collaborations with engineering and product teams, including architectural design, code reviews, technical mentorship, and delivering technical talks or workshops.
Ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders, including sales, legal, product, or marketing teams as needed.
Ability to explain complex technical concepts to audiences ranging from engineers to executives.
End-to-end experience defining, integrating, and building solutions with strategic ISV partners, and jointly marketing those solutions.

Nice To Haves

Hands-on experience building or optimizing Retail & CPG solutions, such as loss prevention, shelf intelligence, checkout, store robotics, or production vision systems.
Familiarity with advanced computing, AI, or GPU acceleration platforms such as CUDA, Metropolis, DeepStream, TensorRT, Triton, NIM, NeMo, Jetson, Omniverse, or Isaac.
A successful history of building and scaling developer communities and delivering impactful technical enablement programs.
Expertise in frameworks for capturing developer sentiment and market shifts and translating ecosystem dynamics into actionable industry strategy and product rationalization for Retail & CPG and Physical AI.
Experience with vision-language-action systems, agentic AI, or Cosmos world foundation models, coordinating computer-vision perception with robotic planning and execution.

Responsibilities

Develop and maintain technical knowledge of Retail & CPG intelligent stores and Physical AI, and serve as a trusted technical advisor and champion for the developer ecosystem.
Demonstrate and integrate the NVIDIA software stack, including tools, libraries, SDKs, NIMs, and blueprints, into partner products, platforms, and pipelines.
Guide partners through onboarding and integration by providing sample code, guides, demo pipelines, and other technical resources.
Support co-innovation of next-generation Retail & CPG intelligent-store and Physical AI solutions.
Assess the developer ecosystem for emerging opportunities and adoption trends, and collaborate with engineering, product management, and marketing to influence roadmaps and accelerate adoption.
Collaborate with partner technical leaders to accelerate integrations, solve technical challenges, uncover workflows, and translate field insights into actionable product-team feedback.
Drive adoption of NVIDIA Metropolis, DeepStream, TAO, Triton/NIM, and vision-language models for intelligent-store applications, including shelf availability, product recognition, checkout, loss prevention, customer flow, and store operations.
Enable Physical AI adoption using NVIDIA Omniverse, OpenUSD, Isaac, Cosmos, simulation, and synthetic-data workflows for store and warehouse robotics, autonomous systems, and digital twins across GPU and edge platforms such as Jetson.
Create and maintain open-source reference implementations, blueprints, and benchmarks.
Demonstrate technical and economic value at GTC, NRF, and ecosystem events through measures such as performance, deployment efficiency, developer adoption, partner integrations, and production readiness.
Lead technical collaborations with engineering and product teams, including architectural design, code reviews, technical mentorship, and technical talks or workshops.
Structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external teams.
Define, integrate, and build solutions with strategic ISV partners and jointly market those solutions.