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Executive Nvidia Engineering Jobs in Virginia (NOW HIRING)

... executives and engineering to solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter Qualifications : Required : • Strong foundational ...

Director of Engineering

Reston, VA · On-site

$160 - $220/hr

Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception ... Reports to Founding leadership / CEO and CTO-level leadership. * Ideal profile: Engineering leader ...

Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception ... Reports to Founding leadership / CEO and CTO-level leadership. * Ideal profile: Engineering leader ...

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.

Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...

Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...

Executive Nvidia Engineering information

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

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

What are popular job titles related to Executive Nvidia Engineering jobs in Virginia?

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

What cities in Virginia are hiring for Executive Nvidia Engineering jobs?

Cities in Virginia with the most Executive Nvidia Engineering job openings:

Senior Solutions Architect, NPN

NVIDIA

Richmond, VA • On-site

Full-time

Re-posted 19 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

Job Summary:
NVIDIA is a leading technology company known for revolutionizing the field of AI with data center scale solutions. They are seeking a Senior Solutions Architect to design, build, and maintain large scale HPC and AI hybrid computing solutions, collaborating closely with partners and customers to operationalize AI solutions at scale.
Responsibilities:
• guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks
• delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs
• collaborating with executives and engineering to solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter
Qualifications:
Required:
• Strong foundational expertise and a BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
• Established track record working with AI and HPC clusters, both on-premises and cloud based.
• 12 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.
• Hands-on experience with network, storage, cluster configuration and debugging.
• Strong analytical and problem-solving skills, along with an ability to articulate what you know to others.
• Ability to multitask efficiently in a dynamic environment.
Preferred:
• Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities.
• Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions.
• Exhibit hands on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs.
• Willingness and ability to learn quickly and solve advanced problems.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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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