
Senior Developer Relations Manager, Retail and CPG - Physical AI
Santa Clara, CAFull-timePosted 1 day agoStill listed today
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near Santa Clara, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
NVIDIA seeks a Senior Developer Relations Manager to champion adoption of its AI and computing platforms across Retail & CPG and Physical AI developer ecosystems. The role partners with software providers, developers, and internal teams to integrate NVIDIA technologies, enable partner solutions, and translate ecosystem insights into product feedback. It also creates reference implementations and demonstrates technical and economic value at industry events.
Skills & qualifications
Skills
Qualifications
Full job 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 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!
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.
How this job compares
Set against the 8,585 open Software Engineering jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This postingNot listed
- California median$189–275K/yr1,283 salary ranges
- California median$43–52/hr124 hourly ranges
- Openings
- Olive Jobs lists 1,750 open Software Engineering jobs in California and 8,585 across the US. 10% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 12 years of experience — more than three in four Software Engineering postings that state a minimum ask for (median 7 years, across 6,599 postings).
- Education
- 2,272 of the 8,585 open Software Engineering jobs (26%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.
