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Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Senior Solutions Architect, Agentic AI

OR · On-site +1

Partner with NVIDIA engineering, product, and sales teams to secure build wins, translate customer feedback into actionable product and roadmap insights, and scale global expertise through technical ...

Nvidia

Senior Solutions Architect, Gen AI

OR · On-site +1

Partner with NVIDIA engineering, product, sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and POC evaluations. What ...

Nvidia

Senior Solutions Architect, Networking

OR · On-site +1

Partner with NVIDIA engineering, product, sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and POC evaluations. What ...

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Nvidia Engineering information

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$46.5K

$146.9K

$174K

How much do nvidia engineering jobs pay per year?

As of Sep 3, 2026, the average yearly pay for nvidia engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is an Nvidia engineer?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

What types of projects do Nvidia engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

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Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

Developer Relations Manager - AI Natives

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 11 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

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.

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 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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