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Executive Nvidia Engineering Jobs (NOW HIRING)

... developer and executive audiences. College degree or equivalent experience. More than 8 years ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Solutions Architect, Energy OT and Industrial AI

OR · On-site +1

$63 - $83/hr

... NVIDIA engineers to bring AI into critical energy settings. This position links NVIDIA's AI ... engineers and executive partners. Strong problem structuring and self-direction help drive ...

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Executive Nvidia Engineering information

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$26.5K

$93.6K

$184K

How much do executive nvidia engineering jobs pay per year?

As of Sep 2, 2026, the average yearly pay for executive nvidia engineering in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What does an Executive Nvidia Engineering professional do?

An Executive Nvidia Engineering professional typically leads engineering teams and oversees technical projects at Nvidia, focusing on innovative solutions in areas such as graphics processing, artificial intelligence, and high-performance computing. They are responsible for setting technical vision, managing large-scale engineering operations, and aligning projects with the company's business goals. Additionally, they collaborate closely with other executives, stakeholders, and partners to drive strategic initiatives and ensure product excellence. Their role requires deep technical knowledge, leadership skills, and the ability to operate in a fast-paced, cutting-edge technology environment.

How does an Executive Nvidia Engineering role typically collaborate with cross-functional teams within the company?

In an Executive Nvidia Engineering position, collaboration with cross-functional teams is central to driving innovation and meeting business objectives. Executives often work closely with product managers, software and hardware engineering teams, research scientists, and business development leaders to align technical projects with strategic goals. They facilitate communication between technical and non-technical stakeholders, ensuring that engineering efforts support product roadmaps and customer needs. This role frequently involves leading cross-departmental meetings, resolving technical challenges, and mentoring team leads to foster a culture of collaboration and high performance.

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

To thrive as an Executive Nvidia Engineer, you need advanced expertise in computer engineering, deep learning, and GPU architecture, typically supported by a relevant engineering degree and extensive industry experience. Proficiency with programming languages like C++ and Python, experience with CUDA, and familiarity with AI frameworks such as TensorFlow or PyTorch are crucial, as are potential certifications in cloud or AI technologies. Leadership, strategic thinking, and strong communication skills are vital for driving innovation and leading high-performance teams. These skills and qualities ensure the effective development and deployment of cutting-edge technologies while aligning technical initiatives with organizational goals.

What is the difference between Executive Nvidia Engineering vs Nvidia Hardware Engineer?

AspectExecutive Nvidia EngineeringNvidia Hardware Engineer
Required CredentialsBachelor's or Master's in Engineering, Business, or related fields; leadership experienceBachelor's or Master's in Electrical, Computer, or Hardware Engineering; technical certifications
Work EnvironmentLeadership meetings, strategic planning, cross-department collaborationDesign, testing, and development of hardware components in labs or offices
Employer & Industry UsageUsed in corporate leadership, product strategy, and high-level project management within NvidiaUsed in R&D, product development, and technical implementation teams at Nvidia

Executive Nvidia Engineering roles focus on strategic leadership, project oversight, and high-level decision-making, often requiring management experience. Nvidia Hardware Engineers concentrate on designing and testing hardware components, requiring technical expertise. Both roles are integral to Nvidia's success but differ significantly in responsibilities and work environment.

What cities are hiring for Executive Nvidia Engineering jobs?

Cities with the most Executive Nvidia Engineering job openings:

What are the most commonly searched types of Nvidia Engineering jobs?

The most popular types of Nvidia Engineering jobs are:

What states have the most Executive Nvidia Engineering jobs?

States with the most job openings for Executive Nvidia Engineering jobs include:

What job categories do people searching Executive Nvidia Engineering jobs look for?

The top searched job categories for Executive Nvidia Engineering jobs are:

Infographic showing various Executive 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 $93,552 per year, or $45 per hour.

Developer Relations Manager - Artificial Intelligence

NVIDIA

Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.


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

UK, Remote

Full time

JR2007878

We are looking for a Developer Relations Manager - Artificial Intelligence passionate about developing modern Artificial Intelligence, and Generative AI applications with a leading CSP. Focus will be on Deep learning, which is making a major impact across research and industry. This Developer Relations Manager will lead our partnerships with developers, within a large partner, and work with engineering, research, applications, and new initiatives. We need creative people who want to build a career at the intersection of AI, machine learning, deep learning, and data analytics. Development Relations Manager should be passionate about innovation, building and driving engineering partnership and strategies to integrate NVIDIA technologies throughout the applications. This position will be a combination of developer advocacy, product management and business development. You and the CSP team are responsible for leading engineering integration and go-to-market activities with a multi-functional team of engineers, product, and marketing partners. You will work closely with many groups within NVIDIA, including Solutions Architects, Software Developers, HW & SW Architecture, and our product and marketing teams. In this role, you can expect high visibility with NVIDIA senior leaders, given the strategic priority for developing computing platform for deep learning and AI. What You'll Be Doing

  • Lead and develop NVIDIA developer strategy with multi-functional team: Product, Engineering, Applied Research, Marketing, and Sales.

  • Develop a detailed understanding and prioritization list of services and applications that could benefit from GPU acceleration in the AI / Gen AI space. Lead strategic relationship with key influential researchers, leading product teams, leading developers focused new initiatives.

  • Establish strategic relationships with Partner/CSP engineering leads & developers, dedicate yourself to making them successful. Turn features requests into actionable engineering and product steering.

  • Understand application workflow and architectural requirements to enable GPU based workloads acceleration. Integrate NVIDIA GPU acceleration into CSP Applications. Be alert to the competitive landscape and communicate internally.

  • Create strategic partnership and build community by attending research conferences and hosting technical meetups. Host developers summits; AI, Deep Learning, HPC, Professional Visualization. Engage industry events to speak, collect requirements, establish relationships, showcase NVIDIA GPU accelerated solutions.

What We Need To See

  • BS/MS/PhD in Computer Science or Engineering or equivalent experience.

  • 15+ years experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology.

  • Good technical understanding of Generative AI, high-performance computing, database analytics.

  • Solid understanding of machine learning, deep learning, artificial intelligence platforms and ecosystems.

  • Comfortably work across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers.

Ways To Stand Out From The Crowd

  • Demonstrated excellent interpersonal skills (both verbal and written) and evidence of your ability to represent NVIDIA externally.

  • Excellent social, planning and prioritization skills.

  • You are a self-starter with approach for growth and passion for continuous learning.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA .


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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