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Internship Computer Science New Grad Jobs in Boston, MA

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Software Engineer I (Backend)

Boston, MA

$105K - $145K/yr

... this New Grad Opportunities job posting instead to be considered for roles opening at that time ... Understanding of fundamental computer science concepts including data structures, algorithms, and ...

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Software Engineer I (Backend)

Boston, MA · On-site

$105K - $145K/yr

... this New Grad Opportunities job posting instead to be considered for roles opening at that time ... Understanding of fundamental computer science concepts including data structures, algorithms, and ...

Whoop

Software Engineer I (Backend)

Boston, MA · On-site

$105K - $145K/yr

... this New Grad Opportunities job posting instead to be considered for roles opening at that time ... Understanding of fundamental computer science concepts including data structures, algorithms, and ...

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All JobsComputer Science New Grad JobsInternship Computer Science New Grad JobsInternship Computer Science New Grad Jobs in Boston, MA

Internship Computer Science New Grad information

See Boston, MA salary details

$13

$24

$45

How much do internship computer science new grad jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for internship computer science new grad in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.
Internship Computer Science New Grad jobs near you
Infographic showing various Internship Computer Science New Grad job openings in Boston, MA as of June 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $50,854 per year, or $24.4 per hour.
Verification Engineer - New College Grad 2026

Verification Engineer - New College Grad 2026

Nvidia

Westford, MA

$141K/yr

Full-time

Posted 5 days ago

Job description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

We are now looking for a Verification Engineer - New College Grad.As a Verification Engineer at NVIDIA, you will verify the design and implementation of our state of the art memory subsystem for our mobile SoCs and GPUs. This position offers the opportunity to have 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:

  • In this position, you will be responsible for verification of memory subsystem or coherent high speed interconnect design, architecture, golden models and micro-architecture using advanced verification methodologies.

  • As a member of our verification team, you'll understand the design & implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), execute test/coverage plans, and verify the correctness of the design.

  • Collaborate with architects, designers, emulation and silicon verification teams to accomplish your tasks.

What we need to see:

  • Completing or recently completed a Bachelors or Masters Degree in Electrical Engineering, Computer Engineering or related field (or equivalent experience)

  • Experience in architecting test bench environments for unit level verification.

  • Exposure to verification using random stimulus along with functional coverage and assertion-based verification methodologies.

  • Prior Design or Verification experience of dynamic memory controllers or coherent high speed interconnects.

  • C++ programming language experience, scripting ability and an expertise in System Verilog.

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

  • Strong debugging and analytical skills.

  • Strong communication and interpersonal skills are required.

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. If you're creative and autonomous, 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 May 10, 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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