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Executive Nvidia Engineering Jobs (NOW HIRING)

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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 Aug 13, 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 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 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 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 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 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Developer Relations Manager - Omniverse

NVIDIA

Santa Clara, CA • On-site

Other

Re-posted 14 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking a highly technical Senior Developer Relations Manager to drive adoption of Omniverse and physical AI simulation libraries and AI models across our software partner ecosystem. The collaboration will span across multiple vertical market segments. Successful candidates will be highly technical, able to move and adapt quickly to changing needs, guide architecture and implementation plans with product and engineering teams, engage at all executive levels both inside NVIDIA and with partners across multiple partners.

What you'll be doing:

  • Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.

  • Develop and maintain deep technical expertise in NVIDIA Omniverse and related technologies (APIs, USD, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures.

  • Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, achievements, and delivery plans. Supply sample code, architecture diagrams, and direct engineering support to overcome technical challenges.

  • Develop and deliver technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption and effective use of Omniverse.

  • Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for guidelines, and drive alignment with NVIDIA technical solutions.

  • Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

  • Support product launches, technical go-to-market activities by providing technical validation, demonstrating integrated solutions, and ensuring perfection in customer- and partner-facing materials.

What we need to see:

  • A minimum of 8+ years of overall professional experience in the technology industry, including at least 5+ years of direct, hands-on technical experience in software development or engineering!

  • B.S. in Computer Science, Engineering, or a related technical field (or equivalent experience).

  • Proven hands-on involvement throughout the full software development lifecycle - including requirements definition, develop, implementation, testing, integration, quality assurance, and post-release support.

  • Experience (as a software engineer or technical product manager) in one or more of the following domains: real-time 3D visualization and simulation, enterprise-scale ISV software development, full-stack application development, AI/machine learning workflows (including ETL, data pipeline development, synthetic data generation, and data preparation), or graphics and GPU accelerated programming.

  • Significant technical depth in industrial software, robotics and/or automation technologies (e.e., CAE, CAD, PLM, ERP, MES, SCADA, EDA), with direct hands-on contributions to product integrations or software libraries.

  • Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

  • Clear communication skills for conveying technical concepts, architecture, and code to audiences ranging from engineers to executives.

  • Validated ability to structure and complete sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external customers (across sales, legal, product or marketing teams as needed).

Ways to stand out from the crowd:

  • Experience with NVIDIA libraries and models (CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, Cosmos)!

  • Proven experience developing or integrating technology libraries into industrial, robotics or automation software.

  • AIOps, cloud-native and container orchestration technologies (e.g., Kubernetes, Docker, Kubeflow), along with agentic architectures (e.g. NCP, LangGraph) and observability tools for monitoring sophisticated, autonomous systems.

  • Track record of influencing sophisticated product decisions through positive relationships while also balancing software partner needs.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until June 29, 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

Year founded

1993