1 day ago
Responsibilities
- Serve as a trusted technical advisor and advocate for developers, software providers, and partners in Retail, CPG, and Physical AI.
- Demonstrate and integrate NVIDIA tools, libraries, SDKs, NIMs, and blueprints into partner products, platforms, and pipelines.
- Guide partner onboarding and integration through sample code, technical guides, demo pipelines, and co-innovation efforts.
- Identify ecosystem opportunities and adoption trends while partnering with engineering, product management, and marketing to influence roadmaps.
- Collaborate with technical leaders on architecture, integrations, technical problem solving, code reviews, mentorship, talks, and workshops.
- Drive adoption of NVIDIA Metropolis, DeepStream, TAO, Triton, NIM, vision-language models, Omniverse, OpenUSD, Isaac, Cosmos, and simulation and synthetic-data workflows.
- Enable intelligent-store, warehouse robotics, autonomous-system, and digital-twin use cases across GPU and edge platforms such as Jetson.
- Create and maintain open-source reference implementations, blueprints, benchmarks, and technical demonstrations for ecosystem events.
Requirements
- Bachelor’s or master’s degree or equivalent experience in computer science, engineering, or a related field.
- At least 12 years of professional technology-industry experience 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 in Retail and CPG environments.
- Experience leading, partnering on, or scaling developer programs at major technology companies or relevant Retail and CPG, computer vision, or robotics organizations.
- Deep technical expertise in video analytics, multimodal and vision-language-model approaches, robotics, simulation, synthetic data, digital twins, and GPU-accelerated edge-to-cloud inference.
- Experience with architectural design, code reviews, technical mentorship, technical talks or workshops, and product or software-library integrations.
- Ability to structure complex technical engagements, negotiate requirements, prioritize issues, collaborate across functions, and communicate with both engineers and executives.
- Preferred experience building Retail and CPG solutions, scaling developer communities, using GPU acceleration platforms, analyzing developer sentiment and market shifts, or working with vision-language-action systems, agentic AI, and Cosmos world foundation models.
Benefits
- Competitive salary, equity, and comprehensive benefits package.
- Applications are accepted at least until November 9, 2026.
- This posting is for an existing vacancy.
Tech Stack
NimRobot Framework
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.