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Junior Nvidia Engineering Jobs in California (NOW HIRING)

Senior DFT Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

At NVIDIA, our Senior DFT Engineers lead the way in silicon test innovation, ensuring flawless ... Guide and mentor junior engineers, helping them navigate complex build trade-offs to achieve world ...

Senior DFT Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

At NVIDIA, our Senior DFT Engineers lead the way in silicon test innovation, ensuring flawless ... Guide and mentor junior engineers, helping them navigate complex build trade-offs to achieve world ...

Senior DFT Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Own the full ATPG lifecycle-verification, coverage analysis, pattern generation, and ATE bring-up-across NVIDIA's full product portfolio. * Guide and mentor junior engineers, helping them navigate ...

Senior DFT Power Methodology Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

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 Power Methodology Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative ... Help mentor junior engineers on test designs and trade-offs including cost and quality. What we ...

Senior DFT Power Methodology Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative ... Help mentor junior engineers on test designs and trade-offs including cost and quality. What we ...

Showing results 21-40

Junior Nvidia Engineering information

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.

What are the most commonly searched types of Nvidia Engineering jobs in California?

The most popular types of Nvidia Engineering jobs in California are:

What are popular job titles related to Junior Nvidia Engineering jobs in California?

For Junior Nvidia Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Junior Nvidia Engineering jobs in California look for?

The top searched job categories for Junior Nvidia Engineering jobs in California are:

What cities in California are hiring for Junior Nvidia Engineering jobs?

Cities in California with the most Junior Nvidia Engineering job openings:

Infographic showing various Junior Nvidia Engineering job openings in California as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior DFT Engineer

Nvidia

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 22 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

At NVIDIA, our Senior DFT Engineers lead the way in silicon test innovation, ensuring flawless execution and outstanding quality in our next-generation silicon platforms. This is an outstanding opportunity to join a world-class team and make a significant impact in the semiconductor industry. What You'll Be Doing: Design and roll out advanced test methodologies on NVIDIA's next-generation silicon platforms.

Own and work with cross-functional teams to implement the latest in test access mechanisms, IO BIST, memory BIST, and scan compression. Collaborate closely with VLSI and Product Engineering groups to design innovative DFT approaches that advance silicon test technology. Lead end-to-end planning and timely execution of NVIDIA's new chip bring-up efforts, from pre-silicon through production deployment.

Develop and standardize methodologies, processes, and workflows for silicon bring-up, crafting reusable checklists and playbooks. Improve cross-team communication, work, and handoffs. Guide and mentor junior engineers, helping them navigate complex build trade-offs to achieve world-class quality and efficiency.

What We Need To See: BSEE (or equivalent experience) with 5+ years, MSEE with 3+ years, or PhD in DFT or related domains. Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG, and fault simulation. Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate builds using vendor tools.

Experience in silicon debug and bring-up with an understanding of pattern formats, failure processing, and test program development. Strong programming and scripting skills. Excellent written and oral communication skills with the curiosity to work on rare challenges.

Ways To Stand Out From The Crowd: Deep understanding of DFT architecture. Direct bring-up experience on GPU/SoC. Hands-on validation skills with oscilloscopes, logic analyzers, and lab debugging.

Understanding of fault models, DPPM, quality metrics, RAS is a plus. Knowledge of InSystem Test methodologies, PVT dependencies and VF characterization. Established proficiency in operating within collaborative, multi-functional environments.

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 August 9, 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