Skills this job asks for
Deep learningLLMsProduct managementMachine learningCommunication
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
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.
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✓
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
NVIDIA is the world leader in accelerated computing and artificial intelligence, and has been powering up Deep Learning, AI, accelerated data analytics, autonomous systems and robots around the world. NVIDIA's customers include global tech-titans and span multiple verticals such as Manufacturing, Retail, Automotive, Media and Entertainment, CSP, Healthcare, Telco and others.
We are rapidly growing into various industries and verticals. We’re looking for a technical Developer Relations Manager to lead engagement with startups and software partners building AI agents and generative AI applications for the retail and media and entertainment industries. This role is a key member of the NVIDIA team that would manage our technical engagements in Retails and Media and Entertainment industries. In this role you will evangelize NVIDIA’s portfolio of technologies and accelerate its adoption among developers in this space. You should have a strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers.
What you will be doing:
• Act as the technical point of contact for startups and developers who are building native LLM and multi-modal applications or want to add AI Agents to their existing apps.
• Help developers leverage NVIDIA’s tools for Gen AI and LLMs—including Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines—to optimize model performance and scalability.
• Build and deliver sample applications, tutorials, and technical content that highlight best practices for building with LLMs and agentic workflows.
• Partner with solution architects to benchmark improvements and support performance tuning of LLM deployments across NVIDIA platforms.
• Guide startups through integration with NVIDIA’s Gen AI stack and support their certification in NVIDIA partner programs.
• Represent the company at industry events, in customer meetings, developer meetups, and hackathons—evangelizing our LLM and Agentic AI strategy to technical and industry audiences.
• Gather developer feedback to inform product and roadmap decisions related to LLM inference, training, and deployment tooling.
• Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
What we need to see:
• Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation.
• Experience in verticals/industries with good knowledge and trends in the industry.
• Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.
• You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience.
• 5+ years’ experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities.
• Able to work independently and possess excellent communication skills to drive customer and internal engagements.
• Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.
• Execute and accelerate strategic decisions
• Ability to effectively deliver value propositions for specific and targeted industries.
• Ensure a positive experience for external customers and partners while working cross functionally within our organization.
Ways to stand out from the crowd:
• Hands-on experience building or optimizing retail or media-specific
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