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 engaging developer ecosystems across Retail & CPG intelligent stores and Physical AI. The role works directly with software solution providers, developers, industry professionals, and partners to champion adoption of NVIDIA AI and computing platforms and demonstrate how they address real-world challenges. The position serves as a trusted technical advisor and advocate for the developer ecosystem, accelerating workloads by integrating NVIDIA software tools, libraries, SDKs, NIMs, and blueprints into partner products, platforms, and pipelines. It guides partner onboarding and integration with technical resources such as sample code, guides, and demo pipelines, while supporting co-innovation of next-generation solutions. The role drives adoption of NVIDIA Metropolis, DeepStream, TAO, Triton/NIM, and vision-language models for intelligent-store use cases, including shelf availability, product recognition, checkout, loss prevention, customer flow, and store operations. It also advances Physical AI through Omniverse, OpenUSD, Isaac, Cosmos, simulation, synthetic-data workflows, robotics, autonomous systems, and digital twins across GPU and edge platforms. The manager creates open-source reference implementations, blueprints, and benchmarks, and demonstrates technical and economic value at GTC, NRF, and other ecosystem events. The position collaborates with engineering, product management, marketing, and partner technical leaders to address complex challenges, influence roadmaps, and turn field insights into product feedback. NVIDIA describes itself as an inclusive equal-opportunity employer and offers a competitive salary, equity, and benefits. Applications will be accepted at least until November 9, 2026.

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; ideally applied to Retail & CPG environments.
Proven 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/VLM 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 delivery of technical talks or workshops.
Ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders across functions such as sales, legal, product, and marketing.
Ability to explain complex technical concepts to audiences from engineers to executives.
End-to-end experience defining, integrating, and building solutions, and jointly marketing them with strategic ISV partners.

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, and/or GPU acceleration platforms such as CUDA, Metropolis, DeepStream, TensorRT, Triton, NIM, NeMo, Jetson, Omniverse, and 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 intelligence for industry strategy and product rationalization across 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.
Serve as a trusted technical advisor, problem solver, and champion for the Retail & CPG developer ecosystem, working with multifunctional partners to drive adoption of NVIDIA technologies.
Demonstrate and integrate NVIDIA software tools, libraries, SDKs, NIMs, and blueprints into partner products, platforms, and pipelines to accelerate workloads.
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 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 technical adoption of NVIDIA Metropolis, DeepStream, TAO, Triton/NIM, and vision-language models for intelligent-store applications.
Enable intelligent-store use cases including 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, 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.
Drive adoption, uncover new workflows, and translate field insights into actionable feedback for NVIDIA product teams.
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 stakeholders as needed.
Communicate complex technical concepts to audiences ranging from engineers to executives, and define, integrate, build, and jointly market solutions with strategic ISV partners.