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Junior Nvidia Engineering Jobs (NOW HIRING)

Senior DFT Power Methodology Engineer

Santa Clara, CA · On-site

$65 - $83.75/hr

Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative ... You will also help mentor junior engineers on test designs and trade-offs including cost and ...

Senior DFT Engineer

Santa Clara, CA · Hybrid

$122K - $168K/yr

Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting ... junior engineers on test designs and trade-offs including cost and quality. What we need to see:

Senior DFT Engineer

Santa Clara, CA · Hybrid

$122K - $168K/yr

Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting ... You will also help mentor junior engineers on test designs and trade-offs including cost and ...

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

A track record of success in mentoring junior engineers and interns is a bonus. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the ...

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

A track record of success in mentoring junior engineers and interns is a bonus. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the ...

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

A track record of success in mentoring junior engineers and interns is a bonus. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the ...

Senior Deep Learning Compiler Engineer

OR · On-site +1

$104K - $143K/yr

A track record of success in mentoring junior engineers and interns is a bonus. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the ...

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Junior Nvidia Engineering information

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$33.5K

$71.8K

$109.5K

How much do junior nvidia engineering jobs pay per year?

As of Sep 2, 2026, the average yearly pay for junior nvidia engineering in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is a junior Nvidia engineer?

A Junior Nvidia Engineer is an early-career professional who works with Nvidia technologies, such as GPUs, AI hardware, and related software development kits. Their responsibilities typically include assisting in the design, development, testing, and optimization of software or hardware solutions utilizing Nvidia platforms. They often collaborate with senior engineers to solve technical challenges, support product development, and learn about advanced computing technologies. This role is ideal for those interested in graphics processing, machine learning, and high-performance computing. Junior Nvidia Engineers usually have a background in computer science, electrical engineering, or a related field.

What are the key skills and qualifications needed to thrive as a junior Nvidia engineer?

To thrive as a Junior Nvidia Engineer, you need a solid grounding in computer science principles, programming (especially in C++ and Python), and a relevant degree such as Computer Engineering or Electrical Engineering. Familiarity with Nvidia's CUDA platform, GPU architectures, and common development tools like Git and Linux is typically required. Strong problem-solving skills, effective teamwork, and a willingness to learn new technologies are crucial soft skills in this role. These abilities are essential to contribute to innovative hardware and software solutions, collaborate effectively, and adapt to the rapid advancements in GPU technology.

What are some common challenges faced by junior engineers at Nvidia, and how can they overcome them?

As a junior engineer at Nvidia, you may encounter challenges such as adapting to a fast-paced environment, learning proprietary technologies, and collaborating with cross-functional teams. It's common to feel overwhelmed by the complexity of projects and the high expectations for innovation. To overcome these hurdles, proactively seek mentorship from experienced colleagues, participate in internal training sessions, and regularly communicate with your team to clarify goals and expectations. Building strong technical foundations and asking questions when you need support can help you grow quickly in this dynamic environment.

What is the difference between Junior Nvidia Engineering vs Junior Data Scientist?

AspectJunior Nvidia EngineeringJunior Data Scientist
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related fields; knowledge of CUDA, GPU architectureBachelor's or Master's in Data Science, Statistics, or related fields; programming in Python, R, SQL
Work EnvironmentHardware-focused, engineering labs, GPU development teamsData analysis teams, research environments, software development
Industry UsageTechnology, hardware manufacturing, AI hardware accelerationTech, finance, healthcare, research institutions
Common Search/ComparisonYesYes

Junior Nvidia Engineers focus on GPU hardware, CUDA programming, and hardware development, often working in engineering labs. In contrast, Junior Data Scientists analyze data, develop models, and work with statistical tools. Both roles require strong programming skills but differ in their core focus and industry applications.

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Infographic showing various Junior Nvidia Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Senior DFT Power Methodology Engineer

Nvidia

Santa Clara, CA • On-site

$65 - $83.75/hr

Full-time

Re-posted 2 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 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 that are hard to solve, that only we can address, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. Make the choice to join us today.

Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work on innovating in the DFT Power, Thermal & Voltage Noise Methodology areas. This will include working on groundbreaking low power & thermal solutions for our manufacturing tests to be enabled at conditions that push the boundaries for our datacenter GPUs.

You will work with multi-functional teams including Product Development & Power Architecture, implementing brand-new methodologies on hard-to-solve problems for improving our outgoing quality of chips. You will work on post-silicon data analysis for power to architect the next-gen solutions. In addition, you will help develop and deploy DFT methodologies for our next generation products using Applied ML & Gen AI solutions.

You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 12+, MSEE with 10+, or PhD with 6+ years of experience in DFT design & power Understanding of fundamental DFT topics and VLSI areas of power, timing & voltage noise Experience in Power Analysis, Thermal Analysis & IR Drop tools is a plus. Experience in application of AI for EDA-related problem-solving is a plus.

Excellent knowledge in using statistical tools for data analysis & insights. Good exposure to multi-functional areas including RTL & clocks design, STA, place-n-route and power. Experience in Silicon debug and bring-up on the ATE or SLT platforms.

Be able to think like a programmer so that this can be translated into action using AI Coding harnesses Outstanding written and oral communication skills with the curiosity to work on rare challenges. Ways to stand out from the crowd: Experience in managing DFT Power Methodology for designs Experience in post-silicon debug for thermal & IR Drop Good understanding of technology and passionate about what you do Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast.

If you're a creative and autonomous engineer with 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 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 30, 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.


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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