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Executive Nvidia Engineering Jobs in Texas (NOW HIRING)

Nvidia

Customer Technical Program Manager

Austin, TX

$127K - $165K/yr

Clearly and thoughtfully communicate issue status to the customer and to internal NVIDIA Executive teams. * Work closely with engineering, operations, quality, product management, and sales teams to ...

Integra

Director Electrical Engineering

Dallas, TX · On-site +1

... executive leadership teams to support strategic growth initiatives. What you will do? Develop and ... Lead engineering efforts supporting NVIDIA GPU clusters, AI training environments, machine learning ...

h2o.ai

Principal AI Engineer

Dallas, TX · On-site

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS ... teams, engineering leads, and executive stakeholders - translating business needs into technical ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS ... teams, engineering leads, and executive stakeholders - translating business needs into technical ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS ... teams, engineering leads, and executive stakeholders - translating business needs into technical ...

h2o.ai

Principal AI Engineer

Dallas, TX · On-site

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS ... teams, engineering leads, and executive stakeholders - translating business needs into technical ...

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Executive Nvidia Engineering information

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 Texas?

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

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

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

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

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

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

Executive Nvidia Engineering jobs near you
Infographic showing various Executive Nvidia Engineering job openings in Texas 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.

Senior Network Solution Engineer (Weekend Coverage)

Austin, TX

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidiaexternal

$54.75 - $70.50/hr

Full-time

Re-posted 3 days ago

Job description

The NVIDIA Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer who is ready to become an authority in ground-breaking network technology used in AI clusters. Our team of software engineers bridge the gap between the customer support teams and R&D, focusing on resolution of tough problems from the front lines and providing the highest level of support for InfiniBand, NVLink, and Spectrum-X network systems that interconnect GPUs and AI compute infrastructure.

The level of work we do requires a software engineering background for deep code and logic analysis. It is also essential to have a proven grasp of in-field, production network operations and a history of collaborating closely with both customer engineering teams and internal R&D to triage and resolve major issues. Candidates must be very comfortable interacting with and relaying technical information to various groups ranging from R&D engineers, support groups, account teams, and executive-level management. The individual will interact daily with both internal and external customers, so superb interpersonal and communication skills are essential.SE team members also get to spend time working within R&D groups taking on feature development and bug fixes to directly enhance the products we support.

The standard work schedule for this role is Wednesday through Sunday.

What you will be doing:

  • Assist various network and AI cluster support teams in reproducing, resolving, and root causing sophisticated customer issues

  • Work with NVIDIA R&D teams to rapidly develop bug fixes, workarounds, and solutions for customers using NVIDIA's network technologies

  • Work directly with customer engineers on live triage of critical and high-profile issues

  • Become an authority in NVIDIA Spectrum-X networking used in AI clusters

  • Develop support and analysis tools to help analyze and root cause field issues

  • Daily use of ground breaking AI tools for software development, log and trace analysis, and source code debugging

  • Spend a portion of time working directly within an R&D team developing core software

  • Occasional work on holidays to support critical customers

What we need to see:

  • Candidates must have software development experience in the networking industry either for a network hardware manufacturer or software integrator

  • Candidates must have experience working directly with customers and support groups to triage and resolve critical in-field, in-production networking problems

  • Bachelor's degree in software engineering, computer engineering or related (or equivalent experience)

  • 5+ years of experience developing software (C, C++, Python, or Go)

  • 5+ years of experience directly supporting end-customers, partners, or integrators for network equipment and infrastructures

  • Experience analyzing, developing, and debugging at least 2 of the following: Linux NIC drivers, switch ASICs and SDKs, embedded network device firmware, Linux based network equipment (routers, switches, gateways, etc), network operating systems

  • Expert knowledge of Ethernet and IP routing down to the protocol's byte level

  • Ability to analyze and learn evolving end-to-end systems flow, quickly learn how unfamiliar software layers are integrated, and be able to find logic bugs within an increasingly complex environment

  • Passion and motivation to isolate, root cause, and resolve high impact issues with executive visibility

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and 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

View All Nvidia Jobs

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