NVIDIA Corporation

Developer Relations Manager - AI Natives

NVIDIA Corporation$152K — $287K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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.
  • Hands-on experience building or scaling AI-powered products or large-scale cloud services.
  • Strong expertise in machine learning infrastructure and real-time AI applications.
  • Deep understanding of modern AI stack including LLMs and inference optimization.
  • Proven ability to influence product architecture and technical roadmaps with engineering teams.
  • Exceptional communication skills to convey complex AI systems to diverse audiences.

Responsibilities

  • Serve as a trusted technical advisor to AI-native companies creating innovative applications.
  • Work with startup teams on optimizing AI workloads using NVIDIA technologies.
  • Help scale training and inference infrastructure for AI workloads.
  • Guide startups on architectural decisions related to AI systems and models.
  • Collaborate with NVIDIA teams to influence platform roadmap for emerging AI categories.
  • Build relationships with leaders in the AI-native ecosystem to promote NVIDIA as the preferred platform.
  • Support development of reference architectures and best practices for AI applications.

Benefits

  • Generous benefits package including health, retirement, and equity opportunities.
  • Opportunity to work with forward-thinking and innovative teams.
  • Access to cutting-edge technologies and resources.
  • Support for employee growth and development within fast-paced environments.
Full Job Description
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 applications.
  • Hands-on experience optimizing LLM training or inference workloads using frameworks such as TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies.
  • Experience building or scaling AI infrastructure platforms, developer tools, or agent frameworks used by large developer communities.
  • Demonstrated success working directly with startup founders and early engineering teams to shape product architecture and platform strategy while also helping them scale to full out platform companies.
  • Experience contributing to open-source AI frameworks or developer ecosystems.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 3, 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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