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From Home Electrical Engineer Nvidia Jobs (NOW HIRING)

You will be exposed to various aspects of building and testing NVIDIA products, from GPUs to ... Bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent ...

NVIDIA is seeking a talented ASIC Floorplan Engineer to design and implement the world's leading ... Masters Degree in Electrical Engineering, Computer Science, or Computer Engineering or equivalent ...

You will be exposed to various aspects of building and testing NVIDIA products, from GPUs to ... Bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent ...

... or MS in electrical engineering or computer science or equivalent experience * 5+ years of ... learn from data and write software that is too complex for people to code. NVIDIA is widely ...

You will be exposed to various aspects of building and testing NVIDIA products, from chips to ... Bachelor Degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience ...

... or MS in electrical engineering or computer science or equivalent experience * 5+ years of ... learn from data and write software that is too complex for people to code. NVIDIA is widely ...

You will be exposed to various aspects of building and testing NVIDIA products, from GPUs to ... Bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent ...

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From Home Electrical Engineer Nvidia information

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$50.5K

$111.1K

$168K

How much do from home electrical engineer nvidia jobs pay per year?

As of Jul 15, 2026, the average yearly pay for from home electrical engineer nvidia in the United States is $111,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $132,000.00 per year, depending on experience, location, and employer.

How does a remote Electrical Engineer at Nvidia typically collaborate with team members and manage projects?

As a remote Electrical Engineer at Nvidia, you will use a range of digital collaboration tools to communicate with multidisciplinary teams, including hardware designers, software engineers, and project managers. Regular virtual meetings, shared documentation, and project management platforms help ensure alignment and progress tracking. You can expect a structured workflow with clear milestones and deliverables, and you'll often participate in design reviews and troubleshooting sessions remotely. Effective communication and proactive engagement are key to overcoming the challenges of remote work and ensuring smooth collaboration.

What does a work-from-home Electrical Engineer at Nvidia do?

A work-from-home Electrical Engineer at Nvidia is responsible for designing, developing, and testing electrical systems and components for Nvidia's products, such as GPUs and other computing hardware. Their tasks may include circuit design, schematic reviews, collaborating with cross-functional teams, and troubleshooting electrical issues, all performed remotely. They often use specialized software tools to simulate and validate electrical designs, and communicate regularly with colleagues through digital platforms. This role requires strong technical expertise, attention to detail, and the ability to work independently while contributing to larger projects.

What is the difference between From Home Electrical Engineer Nvidia vs From Home Electrical Engineer AMD?

AspectFrom Home Electrical Engineer NvidiaFrom Home Electrical Engineer AMD
Required CredentialsBachelor's in Electrical Engineering, certifications in hardware designBachelor's in Electrical Engineering, certifications in hardware design
Work EnvironmentRemote, hardware development labs, design officesRemote, hardware development labs, design offices
Industry UsageGraphics processing units, AI hardware, gamingProcessors, graphics cards, gaming hardware
Common Search/ComparisonFrom Home Electrical Engineer NvidiaFrom Home Electrical Engineer AMD

The main difference between From Home Electrical Engineer Nvidia and AMD lies in the specific hardware focus. Nvidia engineers typically work on graphics cards and AI hardware, while AMD engineers focus on processors and graphics solutions. Both roles require similar credentials and work environments, but their industry applications differ slightly, reflecting the distinct product lines of each company.

What are the key skills and qualifications needed to thrive as a remote Electrical Engineer at Nvidia, and why are they important?

To thrive as a remote Electrical Engineer at Nvidia, you need a solid background in electrical engineering principles, circuit design, and hardware development, often supported by a relevant engineering degree and professional experience. Proficiency in industry-standard tools such as SPICE simulators, PCB design software (e.g., Altium Designer or Cadence), and familiarity with Nvidia's hardware platforms are crucial. Strong problem-solving abilities, effective communication skills, and self-motivation are standout soft skills in a remote setting. These competencies are vital for delivering innovative hardware solutions, collaborating across distributed teams, and ensuring project success in a fast-paced technology environment.
What cities are hiring for From Home Electrical Engineer Nvidia jobs? Cities with the most From Home Electrical Engineer Nvidia job openings:
What are the most commonly searched types of Electrical Engineer Nvidia jobs? The most popular types of Electrical Engineer Nvidia jobs are:
What states have the most From Home Electrical Engineer Nvidia jobs? States with the most job openings for From Home Electrical Engineer Nvidia jobs include:
ATE Test Engineer

ATE Test Engineer

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 22 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

We are looking for a creative and experienced ATE Test Engineer. NVIDIA has continuously reinvented itself over three decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing - with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

We need a creative individual who will help transfer GPU gaming and compute products from design engineering to mass production. You will be exposed to various aspects of building and testing NVIDIA products, from GPUs to assembled boards. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs. If you are passionate about building the highest quality server products that will change the world, then we really want to hear from you.

What you'll be doing:

  • Define, develop, implement, and support ATE test program solutions for NV advanced chips.

  • ATE test method code development and debugging

  • Scripting and automation tools development and debugging

  • Actively participate in cross function team including Product Development Engineering, DFT, and IC design to efficiently debug any product failures and implement optimal solutions

What we need to see:

  • Bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).

  • 3+ years of relevant work experience in the semiconductor industry.

  • Knowledge of silicon verification, testing and manufacturing

  • Knowledge of Silicon Photonics, CPO and optical engine and high speed IO.

  • Have knowledge in Advantest 93K ATE platform is essential

  • Experienced with Linux, and programming languages such as C/C++/Java and/or Perl/Python

  • Good communication skills and works well in a group environment and with cross functional teams that spans across continents

  • Experience with SRAM testing and familiarity with 2.5D or MCM assembly

  • Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST

  • Knowledge of system level testing/validation is a plus as well as utilizing the AI in ATE testing is a plus and make you standout.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technological world's most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you're creative and autonomous with a real passion for your work, 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 132,000 USD - 207,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 16, 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

Hours and flexibility

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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