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New Grad Engineer Jobs in Georgetown, TX (NOW HIRING)

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New Grad Engineer information

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$10.2K

$67.4K

$116.6K

How much do new grad engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for new grad engineer in Georgetown, TX is $67,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $77,100.00 per year, depending on experience, location, and employer.

What is a new grad engineer?

A New Grad Engineer is an individual who has recently graduated from a university or college with an engineering degree and is starting their professional career. These engineers are typically in entry-level positions, where they apply the knowledge and skills acquired during their studies to real-world engineering problems. New Grad Engineers often participate in training programs, work under the guidance of more experienced engineers, and gradually take on more responsibility as they gain experience. Their roles can vary widely depending on the industry and the specific company they join.

What are the key skills and qualifications needed to thrive as a new grad engineer?

To thrive as a New Grad Engineer, you generally need a solid foundation in engineering principles, problem-solving abilities, and a relevant bachelor's degree. Familiarity with industry-standard software, such as CAD tools or programming languages, and internships or relevant project experience are highly valued. Strong communication, teamwork, and a willingness to learn help new engineers adapt quickly and collaborate effectively. These skills enable new engineers to contribute meaningfully to projects, integrate into teams, and grow within fast-paced technical environments.

What types of projects are new grad engineers typically assigned during their first year?

As a new grad engineer, you can expect to start with smaller, well-defined tasks that allow you to become familiar with the company's tools, processes, and codebase (if applicable). These projects are often part of a larger team effort and are designed to help you build confidence while contributing meaningfully. Over time, you'll likely be given more complex assignments and may have the opportunity to take ownership of specific features or problem areas. Regular collaboration with senior engineers and cross-functional teams is common, providing valuable learning and mentorship opportunities as you develop your skills.

What is the difference between New Grad Engineer vs Entry Level Engineer?

AspectNew Grad EngineerEntry Level Engineer
Required CredentialsBachelor's degree in engineering or related fieldBachelor's degree in engineering or related field
Work EnvironmentInternship or first full-time role, often in training programsFull-time position, performing basic engineering tasks
Employer & Industry UsageCommonly used for recent graduates entering engineering rolesUsed for professionals with minimal work experience in engineering

Both roles typically require a bachelor's degree in engineering. A New Grad Engineer often refers to someone just starting their career, possibly in a structured training program, while an Entry Level Engineer is a full-time employee performing foundational engineering tasks. The terms are frequently used interchangeably, but 'New Grad Engineer' emphasizes recent graduation, whereas 'Entry Level Engineer' highlights minimal experience.

What cities near Georgetown, TX are hiring for New Grad Engineer jobs?

Cities near Georgetown, TX with the most New Grad Engineer job openings:

New Grad Engineer jobs near you
Infographic showing various New Grad Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $67,446 per year, or $32.4 per hour.

ASIC Verification Engineer - New College Grad 2026

Nvidia

Austin, TX • On-site

Full-time

Re-posted 24 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

Today, NVIDIA is 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. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world!
NVIDIA is seeking an outstanding ASIC Verification Engineer to verify the design and implementation of the world's leading SoC's and GPU's. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing!


What you'll be doing:

  • As a Verification Engineer at NVIDIA, you will be responsible for verifying the design, architecture and micro-architecture using advanced verification methodologies

  • Define the verification scope, and contribute to the development of the verification infrastructure for memory subsystem units

  • Verify firmware code, with specific attention on verifying hardware/firmware interactions

  • Collaborate with architects, designers, software engineers across sites to accomplish your goals

What we need to see:

  • Pursuing or recently completed a BS, MS or PhDin Electrical Engineering, Computer Engineering, Computer Science or equivalent experience.

  • Knowledgable in verification methodology, creating reusable verification components.

  • Knowledgeable in verification using random stimulus along with functional coverage and assertion-based verification methodologies.

  • Proficiency in Object Oriented Programming with SystemVerilog.

  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB), and methodologies (UVM or equivalent).

  • Your work displays a passion for debugging and strong problem solving skills.

Ways to stand out from the crowd:

  • Prior verification experience related to high speed IO protocols, or memory coherence is a big plus

  • Experience debugging embedded firmware code (C or RISCV Assembly)

  • Knowledgeable in embedded microcontrollers and/or RISCV Architecture

  • Experience writing verification plans

  • Strong verification mindset and intuition

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, 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 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits.

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

Year founded

1993

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