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Nvidia Engineering Jobs in Texas (NOW HIRING)

Nvidia

Senior AI Frameworks Engineer

Austin, TX · On-site

$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 DL Compiler Engineer -CUDA Tile

Austin, TX · On-site

$121K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... D. in Computer Science, Computer Engineering or a related field (or equivalent experience) * 3+ ...

Nvidia

Senior HPC Storage Engineer

Austin, TX · On-site

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 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 Site Reliability Engineer - HPC

Austin, TX · On-site

$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 ...

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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 7, 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? Cities in Texas with the most Nvidia Engineering job openings:
Nvidia Engineering jobs near you
Infographic showing various 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, with an average salary of $136,830 per year, or $65.8 per hour.

Senior AI Frameworks Engineer

Nvidia

Austin, TX • On-site

$121K - $160K/yr

Full-time

Re-posted 3 days ago

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

We are now looking for a Senior AI Frameworks Engineer (C++/Python)! 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 dedicated to high-performance math primitives. Since 2017, it has provided the community with C++ template abstractions to implement custom GEMM and related computations efficiently on NVIDIA GPUs.

We are building the next frontier of this ecosystem: Pythonic CUTLASS (CUTLASS DSL). This initiative aims to bring "speed-of-light" performance and powerful abstractions of our stack directly into the Python environment. Join the CUTLASS team and help bridge the gap between low-level hardware primitives and high-level developer productivity. If you are passionate about building elegant, high-performance DSLs and want to empower the next generation of AI researchers and engineers with better tools, apply today!

What you'll be doing:

As a core contributor to the CUTLASS project, you will use your expertise in systems programming and API design to create a world-class developer experience for GPU programming and kernel delivery.

  • Design APIs that prioritize user productivity, providing a "native" feel for developers accustomed to modern scientific computing and deep learning frameworks.

  • Develop robust compilation infrastructure-including AST transformations and JIT-friendly execution-to lower Pythonic descriptions into high-performance GPU machine code.

  • Optimize developer experience by creating debugging tools, profiler integrations, and validation methodologies that make writing and using kernels easy.

  • Build production-grade delivery infrastructure for the open-source community, managing everything from package distribution (wheels, conda) to the user-facing documentation and testing.

What we need to see:

  • MS or PhD degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).

  • At least 3+ years of relevant experience.

  • Strong proficiency in Python and C++, specifically regarding the design of Python extensions and foreign function interfaces (FFI).

  • Experience in library or framework development, with a focus on creating intuitive APIs for complex technical systems.

  • Deep understanding of the Python ecosystem's delivery stack, including building, testing, and distributing high-performance compiled extensions.

Ways to stand out from the crowd:

  • Active maintainer status or significant contributions to high-performance open-source libraries, AI frameworks or compiler projects (LLVM/MLIR).

  • Understanding of compiler foundations, such as intermediate representations (IR), lowering passes, or AST manipulation.

  • Experience with GPU Architecture and parallel programming models (CUDA).

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 engineer, 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 1, 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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