NVIDIA Logo

NVIDIA

Developer Relations Manager – AI Natives

Reposted 4 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Santa Clara, CA, USA
152K-288K Annually
Senior level
In-Office or Remote
Hiring Remotely in Santa Clara, CA, USA
152K-288K Annually
Senior level
The role involves engaging with AI-native companies to optimize their AI platforms using NVIDIA technologies, focusing on architecture, model performance, and collaboration with technical teams.
The summary above was generated by AI

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.

With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you! 

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 March 28, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

Similar Jobs

5 Days Ago
In-Office or Remote
Santa Clara, CA, USA
152K-288K Annually
Senior level
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Developer Relations Manager will support AI-native startups by providing technical guidance on NVIDIA technologies, fostering partnerships, and collaborating to solve engineering challenges.
Top Skills: AIData ScienceFrameworksGenerative AiNvidia PlatformsSdks
13 Minutes Ago
Remote or Hybrid
USA
75K-257K Annually
Senior level
75K-257K Annually
Senior level
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
As a Senior Software Engineer, you will design frontend architectures, collaborate with backend engineers, mentor others, and utilize AI tools for efficient development.
Top Skills: Ci/CdContextGraphQLNext.JsReactReduxRest ApisTypescript
27 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
110K-188K Annually
Senior level
110K-188K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
As a Client Success Lead, manage merchant relationships, drive revenue growth, and optimize performance through cross-functional collaboration and contract management.
Top Skills: Bi ToolsSalesforce

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account