Full-Time

Senior Developer Relations Manager

Updated on 9/4/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

No salary listed

Noida, Uttar Pradesh, India + 1 more

More locations: Bengaluru, Karnataka, India

In Person

Some travel required; on-site presence may be needed in India.

Bachelor's, Master's

Category
Solution Engineering (1)
Required Skills
LLM

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Requirements
  • Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
  • A minimum of 8+ 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 Agentic AI, Gen AI, LLMs and VLM in Enterprise-scale ISV software development, government workflow etc.
  • Proven experience leading, partnering, scaling developer programs at major technology companies, and ISVs, or within relevant verticals.
  • Significant technical depth in Agentic AI, Gen AI, LLMs and VLM software including for areas such as smart cities, healthcare, citizen services robotics, cloud and AI/ML 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.
  • Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders.
  • Handson experience with software architecture design, implementation and programming skills
  • Passion for AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome-oriented activities and empathy for developers
Responsibilities
  • Develop and maintain deep technical expertise in Agentic AI, Generative AI and AI Models for multimodality data & models. Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in Sovereign AI, with cross-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 Sovereign AI-specific technology adoption and foster co-innovation of next-generation solutions.
  • Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies.
  • Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams.
  • Deep understanding of Sovereign AI Technology and Use Cases enabling both governments and enterprises adopters.
  • Discover new workflows, identify blockers to ISV adoption, and report back to the product teams.
  • Collaborate with NVIDIA partner managers, solution architects, industry business development managers, local and regional Sovereign AI entities, sales and marketing.
  • We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.
Desired Qualifications
  • Experience creating or optimizing vertical-specific technical solutions using Agentic AI, Gen AI, LLMs and VLM for software workflows
  • Hands-on familiarity with advanced computing, AI, and/or GPU acceleration platforms, NVIDIA AI platforms & frameworks such as NEMO Framework, TRT, TRITON, Nemotron Models, RAPIDS, CUDA etc along with vertical specific model/algorithm optimization skills
  • Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
  • Skilled in developing systems and tools to measure developer sentiment and track market trends, turning ecosystem insights into practical recommendations that guide product direction and strategic planning in Sovereign AI space
  • 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 in Agentic AI, Gen AI, LLMs and VLM for Sovereign AI and Government/Citizen services centric workflows.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • Amazon ordered 2 million GPUs for 2027-2028, validating hyperscaler demand.
  • August 2026 Lancium investment secured 4 GW leased capacity and 15 GW pipeline.
  • Blackwell Ultra and Vera Rubin shipments began; production ships in late 2026.

What critics are saying

  • Taiwan prosecutors indicted NVIDIA staff August 24, 2026 over illegal China server exports.
  • China’s antitrust probe still threatens fines, remedies, and slower mainland sales.
  • China export controls and ASIC substitution can cut NVIDIA off from a trillion-dollar market.

What makes NVIDIA unique

  • CUDA and NVLink lock developers into NVIDIA’s full-stack AI platform.
  • FY2026 revenue hit $215.9 billion, with data center revenue $193.7 billion.
  • Rubin launched February 2026, targeting 10x lower inference costs than Blackwell.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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NVIDIA has delivered a 14,460% return over the past decade, turning $10,000 into approximately $1.45 million. The company's stock currently trades near $226.18, with analysts setting a 12-month price target of $308.85, implying 36.55% upside. NVIDIA reported fiscal Q2 FY27 revenue of $96.22 billion, up 105.85% year-over-year, with data centre revenue hitting $89.02 billion. The company projects Q3 revenue of $108 billion at 74% gross margins. CEO Jensen Huang stated that demand significantly exceeds NVIDIA's current supply capacity. Management guided fiscal 2028 revenue growth of approximately 70%, describing it as supply-constrained. Top-five hyperscaler capital expenditure is projected at nearly $800 billion in 2026 and $1.3 trillion in 2027.

Fortune
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