Jobs / United States / Nvidia Corporation

Nvidia Corporation

Senior Developer Relations Manager, Retail and CPG - Physical AI

US, CA, Santa Clara Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Nvidia Corporation paid sponsored hires in similar roles1 certified filing for “Manager SWQA Test/Tools Developer” (Industrial Production Managers) in CA: $200k–$200k, median $200k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Nvidia Corporation paid sponsored hires in similar roles
1 certified filing for “Manager SWQA Test/Tools Developer” (Industrial Production Managers) in CA: $200k–$200k, median $200k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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,

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