NVIDIA Corporation

Developer Relations Manager, Local AI Ecosystem

NVIDIA Corporation$184K — $356K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Computer Science, Engineering, or equivalent experience
  • 8+ years in software engineering, developer relations, or technical partnerships
  • Strong AI/ML software experience, including generative AI and model development
  • Working knowledge of GPU acceleration and inference frameworks
  • Experience building technical relationships with software companies and startups
  • Proven ability to coordinate complex technical engagements across various teams
  • Excellent communication skills for diverse audiences

Responsibilities

  • Manage a portfolio of local AI partners as the primary technical lead
  • Act as a technical advisor for AI model developers and tool providers
  • Drive adoption of NVIDIA's AI runtimes and developer tools across workflows
  • Define partner plans with success criteria and measurable outcomes
  • Engage with partner engineers to solve integration challenges
  • Advocate for partner needs within NVIDIA and relay insights to product teams
  • Create technical enablement materials for partners and developers
  • Represent NVIDIA at industry events and communicate on local AI trends
  • Monitor emerging AI technologies and market shifts for strategic planning

Benefits

  • Equity eligibility
  • Comprehensive benefits package
  • Opportunity for professional growth
  • Supportive work environment
  • Involvement in cutting-edge AI technologies
Full Job Description
We are seeking a highly technical and strategic Developer Relations leader to grow NVIDIA's local AI ecosystem. This role will work directly with the companies and collaborative software projects building the models, runtimes, tools, agent platforms, and applications that bring AI onto PCs, workstations, and personal AI. You will be a trusted partner to external developers and an internal advocate for their needs. You will help partners adopt and optimize NVIDIA technologies, remove integration barriers, and deliver excellent on-premise and combined AI experiences. The ideal candidate combines hands-on AI software expertise, strong partner instincts, and can transform emerging ecosystem opportunities into repeatable technical and go-to-market outcomes. Does this sound like your dream job? Those who are motivated and passionate about bringing new technologies to market should join us! What you'll be doing: • Own a portfolio of strategic local AI partners as NVIDIA's primary relationship and technical engagement lead, from opportunity identification and onboarding through integration, launch, and ongoing adoption. • Serve as a trusted technical advisor and problem solver for model developers, AI application and tool providers, agent-platform companies, inference-runtime teams, and open-source communities. • Drive adoption and optimization of NVIDIA accelerated computing, AI runtimes, SDKs, and developer tools across local and hybrid AI workflows on Windows and Linux. • Define joint partner plans with clear technical milestones, success criteria, launch readiness, and measurable ecosystem outcomes. • Engage directly with partner engineers, technical leaders, founders, and development groups to understand goals, unblock integrations, and promote guidelines for performance, reliability, and user experience. • Represent the voice of the partner inside NVIDIA, translating field insights into actionable product requirements and roadmap feedback for engineering and product teams. • Collaborate with engineering, product management, Developer Technology, business development, marketing, legal, and sales to structure and complete complex partner engagements. • Create and scale technical enablement through reference integrations, samples, tutorials, workshops, playbooks, and partner-ready launch materials. • Represent NVIDIA at developer events, conferences, community forums, and partner briefings, communicating a clear and credible point of view on local AI. • Track emerging models, frameworks, runtimes, developer behaviors, and competitive shifts, then turn those signals into partner priorities and ecosystem strategy. What we need to see: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience. • 8+ years of professional experience in software engineering, developer relations, developer advocacy, solutions architecture, technical partnerships, or a similar technology position. • Strong hands-on experience with AI/ML software, including generative AI models, inference, model serving, or AI application development. • Working knowledge of GPU acceleration and the software layers that shape local AI performance, such as inference frameworks (vLLM, SGLang, Llama.cpp, Ollama), model formats, quantization, memory management, and hardware-aware optimization. • Experience building and leading technical relationships with software companies, independent software vendors, startups, or open-source projects from initial engagement through production delivery. • Demonstrated ability to structure complex technical engagements, negotiate requirements, prioritize issues, and coordinate execution across engineering, product, marketing, business, sales, and legal teams. • Excellent written, verbal, and presentation skills, with the ability to explain complex technical concepts to audiences ranging from hands-on developers to senior executives. • Strong judgment, initiative, and follow-through in fast-moving environments with incomplete information and multiple stakeholders. • Ability to occasionally travel as needed for partner engagements, developer events, and industry conferences (less than 20% of the time). Ways to stand out from the crowd: • Hands-on experience building or optimizing local AI applications, inference engines, agent systems, or developer tools for GPU-accelerated PCs and workstations. • Experience with LLMs, VLMs, diffusion models, speech models, retrieval systems, tool use, or agentic application patterns. • Depth in one or more performance-critical areas such as quantization, distributed or multi-GPU inference, low-latency serving, heterogeneous compute, or model packaging and deployment. • A track record of turning partner integrations into successful launches, developer adoption, compelling technical content, and durable ecosystem relationships. • Prior experience with GPU manufacturers, AI platform companies, model providers, cloud or edge AI providers, research labs, or high-growth developer-tool companies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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