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NVIDIA

Designs the chips and software that power AI

Senior Developer Relations Manager

Full-Time
No salary listed
Senior, Expert
Bachelor's, Master's
Noida, Uttar Pradesh, India+1 moreMore locations: Bengaluru, Karnataka, India
In PersonSome travel required; on-site presence may be needed in India.
Solution EngineeringDeveloper Relations & Advocacy

About the job

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.

About the company

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

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

  • AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
  • Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
  • Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.

What critics are saying

  • Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
  • Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
  • Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.

What makes NVIDIA unique

  • Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
  • The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
  • People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.

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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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