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Electrical Engineer Nvidia Jobs in Texas (NOW HIRING)

Nvidia

Senior HPC Cluster Engineer

Austin, TX · On-site

$103K - $142K/yr

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 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 Digital Design Engineer

Austin, TX · On-site

Bachelors or Master's Degree, or equivalent experience in Electrical Engineering or Computer ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Nvidia Corporation

Senior Firmware PCIe Engineer

Austin, TX · On-site

$118K - $156K/yr

At NVIDIA, our inventions are the engine of accelerated computing and modern AI. Our work powers ... A degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent ...

Nvidia

ASIC Design Engineer - Hardware

Austin, TX · Hybrid

Join the NVIDIA System-On-Chip (SOC) group as an ASIC Design Engineer and make a broad impact. You ... experience in Electrical Engineering, Computer Engineer, or related degree required, advanced ...

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Electrical Engineer Nvidia information

What is an electrical engineer Nvidia?

An Electrical Engineer at Nvidia is responsible for designing, developing, and testing hardware components for cutting-edge computing and AI technologies. They work on power distribution, high-speed circuit design, PCB layout, and system integration for GPUs, data centers, and autonomous systems. The role requires expertise in circuit design, signal integrity, and industry standards, often involving collaboration with cross-functional teams.

What types of projects and technologies do electrical engineers at Nvidia typically work on?

Electrical Engineers at Nvidia are involved in designing, testing, and optimizing high-performance hardware systems, such as GPUs and AI accelerators, which support a wide range of cutting-edge applications. They work on board-level circuit design, power delivery, signal integrity, and system integration, often collaborating with cross-functional teams including hardware, software, and mechanical engineers. The fast-paced and innovative environment means engineers are continually exposed to new technologies and challenges, allowing for rapid professional growth and hands-on involvement in industry-leading products. This role offers the opportunity to directly influence Nvidia’s hardware platforms that shape advancements in gaming, artificial intelligence, and high-performance computing.

What are the key skills and qualifications needed to thrive as an electrical engineer Nvidia?

To thrive as an Electrical Engineer at Nvidia, you need a solid background in electrical engineering principles, digital and analog circuit design, and a relevant engineering degree. Proficiency with tools like Cadence, SPICE, and knowledge of hardware description languages, as well as familiarity with industry standards and certifications, is highly valued. Exceptional problem-solving skills, teamwork, and effective communication are key soft skills that set candidates apart. These competencies are critical because they ensure you can design innovative hardware, troubleshoot complex issues, and collaborate efficiently on cutting-edge technology projects.

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Electrical Engineer Nvidia jobs near you
Infographic showing various Electrical Engineer Nvidia job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior ASIC Verification Engineer

Nvidia Corporation

Austin, TX • On-site

Full-time

Re-posted 24 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

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence.
The NVIDIA System-On-Chip (SOC) group is looking for an experienced ASIC Verification Engineer! In this position you will have the chance to create a high-level and broad impact at NVIDIA working on a system-level IP responsible for measuring performance on multiple projects. Your focus will be on verifying and improving the related verification methodologies for the corresponding design (RTL). For this position, you should have real passion for verification methodologies and implementation that enable high quality system-level IP design and robust verification at multiple environment levels (e.g., unit, sub-system, and SOC).
What you'll be doing:
  • Design and maintain the unit level/sub-system Verification environment.
  • Understand the architecture specifications, develop and carry out the test plan to verify the design.
  • Create UVM components, sequences, tests and scoreboards.
  • Sign off on the verification efforts with very high-quality code and functional coverage.
  • Launch regressions, resolve the issues, and make forward progress towards achieving the DV milestone targets
  • Automate the manual steps involved in launching build, regression, and triage.
  • Collaborate with architects, designers, and software engineers to achieve project goals.
  • Proactively contributes to improving the efficiency of the testbenches by embracing the latest techniques.
  • Responsible for end-to-end verification of IPs, ensuring the highest quality delivery.

What we need to see:
  • Bachelor's or Master's degree in Computer or Electrical Engineering (or equivalent experience) with 3 years of relevant experience.
  • Proficient with System Verilog, UVM required and OOPS based programming.
  • Strong coding skills in Python or other industry-standard scripting languages.
  • Strong understanding of RTL design (Verilog).
  • Good understanding of computer architecture fundamentals.
  • Familiarity with verification tools such as VCS or equivalent simulation tools, and debug tools like Verdi.

With industry-leading salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. The most forward-thinking engineers in the world do their life's work at NVIDIA. If you're creative and autonomous, with a real passion for technology, 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 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 28, 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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