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Nvidia Programmer Jobs (NOW HIRING)

The NVIDIA developer marketing group is looking for a developer advocate who is passionate about working with innovative technology, building well-documented inspirational demos, and sharing that ...

Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams toidentify emerging AI-native categories and influence NVIDIA's platform roadmap. * Build strong ...

Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA. * Become the primary technical ...

Senior Solutions Architect, NVIDIA Cloud Partners

OR · On-site +1

$63.50 - $87/hr

Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA. Become the primary technical ...

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As of Sep 13, 2026, the average hourly pay for nvidia programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

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Developer Relations Manager - AI Natives

Santa Clara, CA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 22 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

We are seeking a visionaryDeveloper Relations Managerto engage with the next generation ofAI-native software companies-the builders creating entirely new categories of products powered bygenerative models, agents, and multimodal AI. In this role, you will partner directly withAI-native founders, product leaders, and engineering teamsto help them design, optimize, and scale their AI platforms on NVIDIA technologies. You will guide companies buildingagentic systems, AIcopilots, 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 inAI in systems, developer platforms, and large-scale inference infrastructurewith a passion for working alongside the world's most ambitious startup founders and engineers.

What you will be doing:

  • Serve as atrusted technical advisorto 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 toarchitect and optimize AIworkloadsusing NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.

  • HelpAI-native companies scaletraining and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.

  • Guide startups through complex architectural decisions includingmodel optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.

  • Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams toidentify emerging AI-native categories and influence NVIDIA's platform roadmap.

  • Build strong relationshipswith founders, CTOs, and technical leaders across the AI-native ecosystem toensure NVIDIA is the platform of choice for the most innovative AI companies.

  • Support the creation ofreference architectures, AI blueprints, and best practicesthat 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 scalingAI-powered products, developer platforms, or large-scale cloud services.

  • Strong expertise inmachine learning infrastructure, model serving, distributed systems, and real-time AI applications.

  • Deep understanding of the modern AI stack includingLLMs, agent frameworks, multimodal models, and inference optimization.

  • Proven ability to work closely with engineering teams and startup founders toinfluence 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. Ifyou'rea 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 August 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US