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New Grad Nvidia Jobs (NOW HIRING)

Nvidia

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At NVIDIA, we are a "learning machine" that evolves by seizing new opportunities and tackling challenges that matter to the world. Our mission is to amplify human inventiveness and intelligence ...

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How much do new grad nvidia jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for new grad nvidia in the United States is $19.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.43 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a New Grad at Nvidia, and why are they important?

To thrive as a New Grad at Nvidia, you generally need a strong background in computer science, mathematics, or engineering, often demonstrated by a relevant degree and academic projects or internships. Familiarity with programming languages like C++, Python, and CUDA, as well as experience using version control systems and development tools, is commonly expected. Critical thinking, problem-solving, and effective teamwork are standout soft skills in this role. These abilities ensure you can contribute to cutting-edge technology projects, collaborate efficiently in fast-paced teams, and adapt to Nvidia’s innovative environment.

What types of projects do New Grad hires at Nvidia typically work on during their first year?

As a New Grad at Nvidia, you can expect to work on impactful, real-world projects alongside experienced engineers and researchers. These projects often involve areas such as AI, graphics, autonomous vehicles, or hardware development, depending on your role and interests. New Grads are typically assigned to collaborative teams where they contribute to product development, testing, and optimization, receiving mentorship and support as they grow their skills. This hands-on experience not only accelerates technical learning but also provides insight into Nvidia's innovative culture and fast-paced environment.

What does a New Grad at Nvidia do?

A New Grad at Nvidia is typically an entry-level employee who has recently graduated from university and is starting their career at Nvidia. These positions span across various roles such as software engineering, hardware design, research, and product management. New Grads are given opportunities to work on cutting-edge technology projects, collaborate with experienced teams, and contribute to innovations in fields like AI, graphics, and data centers. Nvidia offers mentorship and professional development to help new graduates transition smoothly into the workforce and make an impact early in their careers.

What is the difference between New Grad Nvidia vs Software Engineer?

AspectNew Grad NvidiaSoftware Engineer
Required CredentialsBachelor's degree in Computer Science or related field, internship experienceBachelor's or Master's degree, relevant experience preferred
Work EnvironmentEntry-level, collaborative, fast-paced tech environmentFull-time, team-based software development setting
Employer & Industry UsagePrimarily in tech and gaming industries, NVIDIA-specific projectsAcross various industries, including tech, finance, and more

New Grad Nvidia roles are designed for recent graduates entering the tech industry, focusing on learning and growth within NVIDIA's innovative environment. Software Engineer positions are more experienced roles, often requiring prior experience but still sharing similar technical skills. The main difference lies in experience level and expectations, with New Grad Nvidia roles being entry-level and Software Engineer roles being more advanced.

Infographic showing various New Grad Nvidia job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $40,892 per year, or $19.7 per hour.
ASIC Design Verification Engineer - New College Grad 2026

ASIC Design Verification Engineer - New College Grad 2026

Nvidia

Austin, TX • On-site

$134K - $164K/yr

Full-time

Posted 14 days ago

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 thatmatter to the world. This is our life's work, to amplify human inventiveness and intelligence.

The NVIDIA System-On-Chip (SOC) group is looking foran entry levelASIC 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 the 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 triages.

  • Collaborate with architects, designers, and software engineers to achieve the project goals.

  • Pro-actively contribute to improving the efficiency of the testbenches by embracing the latest techniques.

What we need to see:

  • Completing an MS or higher in Computer or Electrical Engineering (or equivalent experience).

  • Experience in System Verilog, UVM and in general 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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.
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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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