Senior Developer Relations Manager, Retail and CPG - Physical AI
$224k - $356.5k2100 NVIDIA USA
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 collaborators (across sales, legal, product or marketing teams as needed).
Skilled at distilling complex technical concepts for audiences from engineers to executives, with end-to-end experience in defining, integrating, building, and jointly marketing solutions with strategic ISV partners.
Ways to Stand Out from the Crowd
Hands-on experience building or optimizing Retail & CPG solutions (e.g., loss prevention, shelf intelligence, checkout, store robotics, or production vision systems).
Familiarity with advanced computing, AI, and/or GPU acceleration platforms (e.g., CUDA, Metropolis, DeepStream, TensorRT, Triton, NIM, NeMo, Jetson, Omniverse, Isaac).
Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
Expertise in building frameworks to capture developer sentiment and market shifts, translating real-time 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.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our Dev Rel teams are growing fast.
If you're a creative and autonomous professional with a genuine passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors.
The expected base salary range for this position is 224,000 USD – 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 9, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.
Learn more about NVIDIA.
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