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Nvidia Jobs in Texas (NOW HIRING)

Nvidia

Senior Software Engineer, CUTLASS Kernels

Austin, TX

$121K - $160K/yr

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem ...

Nvidia

ASIC Verification Engineer

Austin, TX · Hybrid

NVIDIA is looking for a ASIC Verification Engineer to help verify our global IP! This position offers an opportunity to impact an array of products while collaborating with teams from design ...

Nvidia

Principal Architect, AI Networking

Austin, TX

An applied research team within NVIDIA's Networking Systems & Software Architecture group is solving some of AI's hardest infrastructure problems. The team builds systems-level software that moves ...

Nvidia

GPU Performance Profiling Engineer

Austin, TX

At NVIDIA, we build groundbreaking products for the following sectors: Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers profile and ...

New

Nvidia

AI Hardware Architect

Austin, TX

NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering ...

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How much do nvidia jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for nvidia in Texas is $49.51, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $62.02 per hour, depending on experience, location, and employer.

How do I get a job with Nvidia?

To get a job with Nvidia, candidates should review current openings on the company's careers page, tailor their resume to highlight relevant skills such as expertise in graphics processing, software development, or AI, and prepare for technical interviews that assess problem-solving abilities. Having a strong background in computer science, engineering, or related fields and experience with tools like CUDA or deep learning frameworks can improve chances of selection.

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

To thrive as an Nvidia Software Engineer, you need strong programming skills (e.g., C++, Python), a solid foundation in computer science, and typically a degree in a related field. Familiarity with GPU programming, CUDA, parallel computing frameworks, and version control systems like Git is highly valued. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills in this role. These competencies enable engineers to innovate and deliver high-performance solutions that drive Nvidia's cutting-edge technology.

What can a new employee at Nvidia expect in terms of collaboration and teamwork across different departments?

At Nvidia, collaboration is a central part of the company culture. New employees often work on cross-functional teams that bring together engineers, designers, product managers, and marketing professionals to drive innovation. You can expect regular meetings, brainstorming sessions, and opportunities to learn from experts in various fields. This collaborative environment helps employees quickly build networks within the company and gain exposure to different aspects of Nvidia's business, fostering both professional growth and technical development.

What does Nvidia do as a company?

Nvidia is a technology company known primarily for designing graphics processing units (GPUs) used in gaming, professional visualization, data centers, and automotive markets. Their products power everything from high-end video games to artificial intelligence, machine learning, and self-driving cars. Nvidia also develops system-on-a-chip units for the mobile computing and automotive market, and has expanded into software platforms for AI and deep learning applications.
What cities in Texas are hiring for Nvidia jobs? Cities in Texas with the most Nvidia job openings:
Infographic showing various Nvidia job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $102,974 per year, or $49.5 per hour.

Power Architect - New College Grad 2026

Nvidia

Austin, TX

Full-time

Re-posted just now

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

What you'll be doing:

  • You will be working on architecting GPU power features and system level power management solutions for NVIDIA products.

  • Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.

  • Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.

  • Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.

What we need to see:

  • Pursuing or recently completed a MS or PhDin Electrical or Computer Engineering (or equivalent experience)

  • Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus.

  • Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch a plus.

  • Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist etc a huge plus.

  • Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.

Ways to stand out from the crowd:

  • A master's degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning is a plus!

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. If you're creative and autonomous, 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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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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