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Nvidia Engineering Jobs in Texas (NOW HIRING)

Nvidia

Senior AI Frameworks Engineer

Austin, TX

$121K - $160K/yr

NVIDIA's high-performance computing platforms are powering the AI revolution across many ... MS or PhD degree in Computer Science, Electrical Engineering, or related field (or equivalent ...

NVIDIA

Senior HPC Storage Engineer

Austin, TX · On-site

NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, now focusing on AI to define the next era of computing. As a Senior HPC Storage Engineer, you will lead the ...

Nvidia

Senior HPC Storage Engineer

Austin, TX

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent ...

Nvidia

Senior Site Reliability Engineer - HPC

Austin, TX

$56.50 - $75/hr

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High ... Published technical writeups or talks (conference presentations, meetups, engineering blogs) that ...

Nvidia

Senior ASIC Verification Engineer

Austin, TX · Hybrid

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world's leading SoC's and GPU's. This position offers the opportunity to have a real ...

Nvidia

Senior ASIC Verification Engineer

Austin, TX · Hybrid

Collaborate with design teams across NVIDIA to find corner cases and resolve verification related issues What we need to see: * BS/MS in Electrical or Computer Engineering (or equivalent experience ...

Nvidia

Senior Solution Engineer, Networking

Austin, TX

$54.75 - $70.50/hr

The NVIDIA Enterprise Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer. This person will establish expertise in ground-breaking network technology ...

Nvidia

HPC Operations Engineer

Austin, TX · Hybrid

$68K - $93K/yr

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you ...

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Nvidia Engineering information

See Texas salary details

$43.3K

$136.8K

$162.1K

How much do nvidia engineering jobs pay per year?

As of Aug 14, 2026, the average yearly pay for nvidia engineering in Texas is $136,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $161,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia engineer?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

What types of projects do Nvidia engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

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 Nvidia Engineering jobs in Texas?

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

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

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

What cities in Texas are hiring for Nvidia Engineering jobs?

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Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Texas as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $136,830 per year, or $65.8 per hour.

ASIC Verification Engineer - New College Grad 2026

Nvidia

Austin, TX

Full-time

Re-posted 21 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

Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world!
NVIDIA is seeking an outstanding ASIC Verification Engineer to verify the design and implementation of the world's leading SoC's and GPU's. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing!


What you'll be doing:

  • As a Verification Engineer at NVIDIA, you will be responsible for verifying the design, architecture and micro-architecture using advanced verification methodologies

  • Define the verification scope, and contribute to the development of the verification infrastructure for memory subsystem units

  • Verify firmware code, with specific attention on verifying hardware/firmware interactions

  • Collaborate with architects, designers, software engineers across sites to accomplish your goals

What we need to see:

  • Pursuing or recently completed a BS, MS or PhDin Electrical Engineering, Computer Engineering, Computer Science or equivalent experience.

  • Knowledgable in verification methodology, creating reusable verification components.

  • Knowledgeable in verification using random stimulus along with functional coverage and assertion-based verification methodologies.

  • Proficiency in Object Oriented Programming with SystemVerilog.

  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB), and methodologies (UVM or equivalent).

  • Your work displays a passion for debugging and strong problem solving skills.

Ways to stand out from the crowd:

  • Prior verification experience related to high speed IO protocols, or memory coherence is a big plus

  • Experience debugging embedded firmware code (C or RISCV Assembly)

  • Knowledgeable in embedded microcontrollers and/or RISCV Architecture

  • Experience writing verification plans

  • Strong verification mindset and intuition

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 13, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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