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Vice President Nvidia Engineering Jobs in Washington

Beyond SOF

VP, Engineering

Washington, DC · On-site

$186K - $240K/yr

The VP of Engineering is responsible for leading the engineering team, overseeing the development and implementation of engineering projects, and ensuring alignment with the company's strategic goals.

Beyond SOF

VP, Engineering

Washington, DC · On-site

$250/hr

Role Summary The VP of Engineering is responsible for leading the engineering team, overseeing the development and implementation of engineering projects, and ensuring alignment with the company ...

Jobs for Humanity

Vice Presidents of Engineering

Columbia, MD · On-site

$175K - $225K/yr

Vice President of Engineering Category: Engineering Description: Oversee and participate in marketing activities to ensure a steady flow of RFPs. Builds relationships with present and prospective ...

Enboarder

Vice President of Engineering

Washington, DC · On-site

$150 - $200/hr

The VP, Engineering will own how that transformation happens -- in our product, our platform and how our teams build. This is a player‑coach role: a hands‑on technical leader who progressed ...

Fanniemae

VP, Cybersecurity

Reston, VA · Hybrid

$163K - $204K/yr

The VP will provide strategic leadership across cybersecurity domains, which may include security architecture, engineering, operations, cyber risk management, governance, data protection, cloud ...

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Vice President Nvidia Engineering information

What does a vice president Nvidia Engineering do?

A Vice President of Nvidia Engineering leads and oversees multiple engineering teams responsible for developing Nvidia’s hardware and software products. They set strategic direction, manage large-scale projects, and ensure that engineering goals align with the company’s overall vision. This role involves collaborating with other executives, fostering innovation, and driving the successful delivery of cutting-edge technologies in areas such as GPUs, AI, and data centers. Additionally, they play a key part in talent development and resource allocation within the engineering division.

What are the key skills and qualifications needed to thrive as a vice president Nvidia Engineering?

To excel as a Vice President of Nvidia Engineering, deep expertise in computer engineering, semiconductor design, and large-scale project management—often supported by an advanced technical degree and significant industry experience—is essential. Familiarity with engineering management tools, product lifecycle systems, and platforms such as CUDA and AI/ML frameworks is typically required. Exceptional leadership, strategic vision, and effective communication are crucial soft skills for guiding high-performing teams and aligning diverse stakeholders. These capabilities ensure successful innovation, product delivery, and sustained competitive advantage in Nvidia’s fast-moving technology sector.

What are some of the primary challenges faced by a vice president Nvidia Engineering when leading cross-functional teams?

As a Vice President of Nvidia Engineering, one major challenge is aligning diverse teams—including hardware, software, and AI research—to achieve unified strategic goals within tight deadlines. This role requires balancing innovation with product reliability, while also managing resource allocation and prioritizing competing projects. Effective communication and collaboration with other executives, product managers, and external partners are essential to drive successful project outcomes and maintain Nvidia’s leadership in the industry. Staying updated on technology trends and fostering a culture of continuous learning are also critical for long-term success.

What is the difference between Vice President Nvidia Engineering vs Senior Nvidia Engineer?

AspectVice President Nvidia EngineeringSenior Nvidia Engineer
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Engineering, specialized technical skills
Work EnvironmentLeadership, strategic planning, cross-department collaborationTechnical development, project execution, problem-solving
Employer & Industry UsageExecutive role in Nvidia, tech industryTechnical contributor within Nvidia, tech industry

The Vice President Nvidia Engineering focuses on leadership, strategy, and managing teams, while the Senior Nvidia Engineer concentrates on technical expertise and project execution. Both roles require strong engineering credentials, but the VP role emphasizes management and strategic planning, whereas the Senior Engineer role is more hands-on technical work.

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

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

What are popular job titles related to Vice President Nvidia Engineering jobs in Washington?

For Vice President Nvidia Engineering jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Vice President Nvidia Engineering jobs in Washington look for?

The top searched job categories for Vice President Nvidia Engineering jobs in Washington are:

What cities in Washington are hiring for Vice President Nvidia Engineering jobs?

Cities in Washington with the most Vice President Nvidia Engineering job openings:

Vice President Nvidia Engineering jobs near you
Infographic showing various Vice President Nvidia Engineering job openings in Washington as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution.

Vice President, Engineering

Civis Analytics

Washington, DC • On-site

$250/hr

Other

Posted 23 days ago

Job description

Please note that candidates must currently live in the following states: DC, Illinois, Maryland, New York or Virginia.

Civis Analytics is hiring a Vice President, Engineering to lead the company’s technical vision, architecture, and execution as we expand our platform and launch standalone AI products. Reporting to the CEO, the VP will play a critical player–coach role: setting long-term technical direction while staying close to systems, decisions, and delivery.

This role owns the cohesion between Civis’s core data platform and its growing AI product portfolio. As we scale our AI capabilities, the VP will ensure that our existing data infrastructure and IP remain strong, reliable, and extensible—while guiding teams toward an AI-centric development and product environment.

What You’ll Do
  • Be the tech voice within our senior leadership team and guide decision-making and business planning as we scale;
  • Own and drive Civis’s technical roadmap across both the Civis Platform and emerging AI products, ensuring alignment, cohesion, and long‑term scalability
  • Lead architecture decisions across platform, data, and AI systems, balancing speed, reliability, and maintainability
  • Act as a player–coach: stay close to systems, technical tradeoffs, and delivery while empowering teams to execute independently. Guide the organization toward an AI-centric product and development environment, including tooling, workflows, and engineering practices
  • Lead and integrate a cross‑functional team spanning product, engineering, data, and AI, while serving as a visible, hands‑on leader and magnet for technical talent as the organization grows (approximately 15 people initially).
  • Provide thought leadership within the company; research and evaluate cutting‑edge practices and enabling technologies for internal adoption; assess potential partnerships and acquisitions;
  • Be the public face of Civis technology and data science; network, evangelize, and form relationships with press and peer organizations; participate in high‑level sales meetings; and give back to the community.
What We’re Looking For (Minimum Qualifications)
  • Practical, real‑world experience working with AI systems and understanding their application in production environments - beyond theory or research
  • Significant experience leading software, platform, or data engineering organizations in a hands‑on leadership capacity
  • Demonstrated ability to own and evolve technical roadmaps across multiple product lines or platforms
  • Experience making architectural decisions for complex, data‑driven systems
  • Comfort getting into the technical weeds when needed to unblock teams or resolve critical issues
  • Proven ability to hire, develop, and manage high‑performing technical teams
  • Clear, direct communication style and comfort making and standing behind difficult technical decisions
  • Familiarity with building and scaling AI products in production
  • Hands‑on experience with modern cloud platforms and distributed systems
  • Authorization to work in the United States
You Should Apply If
  • You want to actively shape and build AI products, not just talk about them
  • You enjoy owning technical strategy while staying close to execution and delivery
  • You’re comfortable operating in ambiguity and making decisions with imperfect information
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