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Trainee Electrical Engineer Nvidia Jobs in Texas

NVIDIA is seeking best-in-class CPU Design Engineers to design the world's leading CPUs. This ... What we need to see: * BS or MS in electrical engineering or computer engineering (or equivalent ...

NVIDIA is seeking extraordinary power engineers to design hardware accelerators and processors on ... or MS in electrical engineering or computer science or equivalent experience * 5+ years of ...

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... MS and/or PhD in Electrical and Computer Engineering (or equivalent experience) with minimum 2 ...

Senior AI Data Center Electrical Engineer

Houston, TX · Hybrid

$102K - $133K/yr

Lead power architecture for NVIDIA GB300 (Grace Blackwell) and VR200 (Vera Rubin) Superpod ... Bachelor's degree (or higher) in Electrical Engineering, Power Systems, or a related field. PE ...

Senior AI Data Center Electrical Engineer

Houston, TX · On-site

$102K - $133K/yr

Lead power architecture for NVIDIA GB300 (Grace Blackwell) and VR200 (Vera Rubin) Superpod ... Bachelor's degree (or higher) in Electrical Engineering, Power Systems, or a related field. PE ...

Job Summary We're looking for an experienced staff electrical engineer to own the electronics EMI ... RF firmware/software experience, Nvidia Orin NX, Nvidia Orin AGX, Mobile robotics experience is a ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... What we need to see: * BS in Computer Science, Electrical Engineering, or a related field (or ...

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Trainee Electrical Engineer Nvidia information

What is the difference between Trainee Electrical Engineer Nvidia vs Trainee Electrical Engineer Intel?

AspectTrainee Electrical Engineer NvidiaTrainee Electrical Engineer Intel
Required CredentialsBachelor's in Electrical Engineering or related field, internship experienceBachelor's in Electrical Engineering or related field, internship experience
Work EnvironmentDesign labs, R&D centers, hardware testing facilitiesDesign labs, R&D centers, hardware testing facilities
Industry UsageSemiconductors, graphics processing units, AI hardwareSemiconductors, microprocessors, integrated circuits
Common Search/ComparisonYesYes

Both Trainee Electrical Engineer Nvidia and Intel roles require similar educational backgrounds and work environments focused on semiconductor hardware. Nvidia emphasizes graphics processing and AI hardware, while Intel focuses on microprocessors and integrated circuits. The roles are comparable in industry usage and entry requirements, making them often compared by job seekers interested in semiconductor engineering internships.

What are the most commonly searched types of Electrical Engineer Nvidia jobs in Texas?

The most popular types of Electrical Engineer Nvidia jobs in Texas are:

What cities in Texas are hiring for Trainee Electrical Engineer Nvidia jobs?

Cities in Texas with the most Trainee Electrical Engineer Nvidia job openings:

Senior Electrical Product Engineer - Datacenter

Dallas, TX


Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


$106K - $138K/yr

Full-time

Re-posted 2 days ago


Job description

We are now looking for a Datacenter Product Engineer! NVIDIA Corporation is a world leader in visual computing technology. The GPU, which the company invented, serves as the visual cortex of modern computers and is at the heart of their products and services. NVIDIA has transformed into a specialized platform company that targets four large markets - Gaming, Professional Visualization, Datacenter and Automotive - where visual computing is essential and deeply valued. Their work also uncovers new universes to explore and enable outstanding creativity and discovery by powering what was once thought to be science fiction inventions like artificial intelligence and autonomous cars.

Collaborating with your peers across various engineering groups, you will optimally launch new systems for NVIDIA HGX GPU Accelerated Server Platforms to production. These purpose-built systems are optimized for the growing Deep Learning, Artificial Intelligence, and Analytics environments. With world-class technology enabling never-been-seen-before performance levels, NVIDIA's HGX portfolio is arguably the most complicated systems platform ever developed by humans. This product family represents the company's fastest growing line of business as well as its largest total available market opportunity. You will bring to bear your knowledge of system architectures and GPU technology in order to productize new GPU boards for datacenter architectures with GPU-accelerated clusters. Your responsibilities will include planning and establishing processes, defining test requirements and optimizing the production line to deliver new GPU boards. You will also be instrumental in helping the team to achieve the desired cost and quality metrics considered outstanding.

This position will be based in Dallas, Texas.

What you will be doing:

  • Use your in-depth experience with high speed networks and signals to plan and develop new diagnostic tests and debug procedures for next gen products

  • Use your knowledge of system power-up and handshakes during boot to debug complex interactions between HW, FW and SW on faulty boards

  • Recommend, drive and ensure compliance to DFx requirements for robust signal integrity performance as related to layout, mechanical components, assembly procedures, etc.

  • Develop and deliver test specs for system level manufacturing screens for all new products to meet the required HW coverage, quality and product requirements.

  • We collaborate with CM to define product assembly line, number of test stations and number of assembly fixtures, optimized for cost and efficiency.

  • Craft creative solutions and WARs through volume data analysis and lab experimentation to solve meaningful yield and test problems.

  • We lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements.

  • Support customer facing and quality teams during partner concerns to understand the issue and fix gaps identified in coverage.

What we need to see:

  • BS or MS degree in EE/CE or equivalent experience.

  • 8+ years of meaningful industry experience.

  • Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.

Ways to stand out from the crowd:

  • Prior board/system level electrical design experience.

  • Experience with Perl, C/C++, Windows, and Linux.

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 4, and 168,000 USD - 270,250 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 26, 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.

Nvidia logo

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


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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