Jobs / United States / Nvidia Corporation

Nvidia Corporation

Developer Relations Manager – AI Natives

2 Locations Posted today

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Skills this job asks for

LLMsMicroservicesProduct managementMachine learningCommunication

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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 roles3 certified filings for “Manager Developer Technology Software” (Architectural and Engineering Managers) in CO: $224k–$224k, median $224k.
  • 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
3 certified filings for “Manager Developer Technology Software” (Architectural and Engineering Managers) in CO: $224k–$224k, median $224k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% 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 visionary   Developer Relations Manager  to engage with the next generation of   AI-native software companies —the builders creating entirely new categories of products powered by   generative models, agents, and multimodal AI. In this role, you will partner directly with   AI-native founders, product leaders, and engineering teams  to help them design, optimize, and scale their AI platforms on NVIDIA technologies. You will guide companies building   agentic systems, AI copilots, developer tools, reasoning models, and multimodal AI applications , helping them accelerate training, optimize inference, and deliver world-class AI experiences to millions of users. The ideal candidate combines deep technical expertise in   AI in systems, developer platforms, and large-scale inference infrastructure  with a passion for working alongside the world’s most ambitious startup founders and engineers. What you will be doing: • Serve as a   trusted technical advisor  to the next generation of AI-native companies building category-defining applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools. • Work directly with startup founders and engineering teams to   architect and optimize AI  workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks. • Help AI-native companies scale   training and inference infrastructure , optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms. • Guide startups through complex architectural decisions including   model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems. • Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to   identify emerging AI-native categories and influence NVIDIA’s platform roadmap. • Build strong relationships with founders, CTOs, and technical leaders across the AI-native ecosystem to   ensure NVIDIA is the platform of choice for the most innovative AI companies. • Support the creation of   reference architectures, AI blueprints, and best practices  that enable AI-native companies to deploy scalable AI applications and agentic systems. • Partner with NVIDIA’s Industry Business Development teams, Solutions Architects, and Account Managers to accelerate adoption of NVIDIA technologies across high-growth AI-native companies. What we need to see: • BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field. • 5+ years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI, developer platforms, or large-scale software systems. • Hands-on experience building or scaling   AI-powered products, developer platforms, or large-scale cloud services. • Strong expertise in   machine learning infrastructure, model serving, distributed systems, and real-time AI applications. • Deep understanding of the modern AI stack including   LLMs, agent frameworks, multimodal models, and inference optimization. • Proven ability to work closely with engineering teams and startup founders to   influence product architecture and technical roadmaps. • Exceptional communication skills and the ability to explain complex AI systems to audiences ranging from engineers to startup founders and executives. • Experience working within fast-moving startup environments or supporting high-growth developer ecosystems. Ways to Stand Out from the crowd: • Experience working with AI-native startups building developer tools, AI copilots, agent platforms, search systems, or multimodal appl

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