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Executive Nvidia Engineering Jobs in Washington, DC

Account Executive

Washington, DC · On-site

$150 - $200/hr

... Engineering | NVIDIA DDN is the global leader in AI and multi-cloud data management at scale. Our ... Build relationships with executive buyers and technical influencers * Partner closely with ...

Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom ... We are growing rapidly and hiring top talent with leading AI skills across engineering, sales ...

... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...

... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS ... What We Are Looking For * 5+ years in pre-sales, sales engineering, or solution architecture roles ...

This is a hands-on engineering role with significant customer exposure. You will write code, design ... Willingness to travel for customer workshops, onsite deployments, executive briefings, and go-lives.

Systems Engineer - TS/SCI

Bethesda, MD · On-site

$125 - $150/hr

... NVIDIA GPU products. As a Systems Engineer - HPC & GPU Infrastructure, you will play a pivotal role ... HPC and GPU environment engineering: Contribute to the installation and maintenance of GPU and HPC ...

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Executive Nvidia Engineering information

See Washington, DC salary details

$30K

$106K

$208.4K

How much do executive nvidia engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for executive nvidia engineering in Washington, DC is $105,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $136,500.00 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 are the most commonly searched types of Nvidia Engineering jobs in Washington, DC?

The most popular types of Nvidia Engineering jobs in Washington, DC are:

What are popular job titles related to Executive Nvidia Engineering jobs in Washington, DC?

For Executive Nvidia Engineering jobs in Washington, DC, the most frequently searched job titles are:

Infographic showing various Executive Nvidia Engineering job openings in Washington, DC as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $105,957 per year, or $50.9 per hour.

Federal Physical AI Business Development Lead

NVIDIA Corporation

Washington, DC • On-site

$250/hr

Other

Re-posted 3 days ago


Key responsibilities

  • Serve as a trusted strategic advisor and champion for the partner ecosystem in the Federal Physical AI Ecosystem to drive adoption of NVIDIA technologies.

  • Accelerate business opportunities by demonstrating solutions that integrate NVIDIA's core stack into partner products, platforms, and pipelines.

  • Guide partners and startups through onboarding and integration with NVIDIA's programs, fostering co-innovation and development of next-generation solutions.


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

## Federal Physical AI Business Development LeadApplylocations: US, DC, Remotetime type: Full timeposted on: Posted Todayjob requisition id: JR2016259NVIDIA 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.We are seeking a technical and strategic Senior Business Development Manager to join our team, with a focus on growing business ecosystems across emerging technology domains, specifically Physical AI. In this pivotal role, you will work directly with software solution providers, strategic partners, and industry professionals to champion the adoption of NVIDIA's advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for business growth and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. You must be a U.S. Citizen to apply for this position**What You'll Be Doing:*** Serve as the trusted strategic advisor, problem solver, and champion for the partner ecosystem in the Federal Physical AI Ecosystem, with cross-functional partners to drive adoption of NVIDIA technologies.* Accelerate critical business opportunities by demonstrating groundbreaking solutions that integrate the core NVIDIA stack into partner products, platforms, and pipelines.* Advise go-to-market resources, such as solution briefs, business cases, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems across the Federal and commercial ecosystem.* Guide partners and startups through onboarding and integration with NVIDIA's programs, fostering co-innovation and the development of next-generation solutions.* Map, track, and monitor the partner ecosystem to identify growth opportunities, inform technology roadmaps, and shape market expansion strategies.* Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive partner engagement and optimize adoption strategies.* Engage with partner business teams, technical leaders, and decision-makers to identify goals, solve business challenges, and promote best practices for successful integrations.* Represent and advocate for partner needs and feedback to NVIDIA's internal product and engineering teams, supplying actionable insights from field engagements to influence product roadmaps.**What We Need to See:*** A minimum of 8+ years of overall professional experience in the technology industry in business development, strategic partnerships, or technical sales, including 5+ years of direct hands-on experience in the Federal ecosystem.* Bachelors degree or equivalent experience.* Significant domain proficiency with the Federal Physical AI Ecosystem in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and solutions.* Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.* Experience leading strategic collaborations with engineering and product teams, including solution design, business case development, executive presentations, and delivery of technical or business workshops.* Proven ability to structure and execute complex strategic engagements, negotiate agreements, prioritize opportunities, and collaborate with internal or external stakeholders (across sales, legal, product, or marketing teams as needed).**Ways to Stand Out from the Crowd:*** Hands-on experience building or scaling vertical-specific go-to-market solutions.* Familiarity with advanced computing, AI, and/or GPU acceleration platforms.* Track record in identifying and closing strategic partnerships for real-time processing and low-latency decision-making use cases.* Successful history of building and scaling partner ecosystems and delivering impactful business enablement programs.* Established relationships within the Physical AI ecosystem.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 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 cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 200,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until June 19, 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.NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. #J-18808-Ljbffr

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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