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Internship Optimization Engineer Jobs in Raleigh, NC

Nvidia

Senior GPU Memory Architect

Durham, NC · On-site

... problems while optimizing performance, area, complexity, and power on leading-edge silicon ... Your history of successfully mentoring junior engineers and interns is a huge plus. Ways to stand ...

HDR

Transmission EIT/Designer

Raleigh, NC

... design optimization, while supporting senior engineers on large or complex capital projects ... Internship or coursework related to power transmission systems. Local candidates preferred.

HDR

Transmission EIT/Designer

Raleigh, NC · On-site

... design optimization, while supporting senior engineers on large or complex capital projects. • ... Internship or coursework related to power transmission systems. • Local candidates preferred.

Epic Games

Tech Art Intern

Cary, NC · On-site

You will sit between our artists and engineers: building tools that speed up how content gets into ... Take assets from Maya, Blender, or Substance through to an optimized, working setup in engine and ...

IBM

Supply Chain Operations Intern 2027

Durham, NC · On-site

$17.50 - $23.50/hr

Our internship opportunities are expansive, allowing you to enhance your skillset, and broaden your ... Pursuing Bachelor's Degree Passion for technology and engineering. Growth minded, trusted, team ...

IBM

Supply Chain Operations Intern 2027

Durham, NC · On-site

$17.50 - $23.50/hr

Our internship opportunities are expansive, allowing you to enhance your skillset, and broaden your ... Pursuing Bachelor's Degree Passion for technology and engineering. Growth minded, trusted, team ...

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Internship Optimization Engineer information

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How much do internship optimization engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship optimization engineer in Raleigh, NC is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What is the difference between Internship Optimization Engineer vs Data Analyst Intern?

AspectInternship Optimization EngineerData Analyst Intern
Required CredentialsRelevant degree in engineering, data science, or related fields; some internships may require basic programming skillsDegree in statistics, mathematics, computer science, or related fields; basic data analysis skills needed
Work EnvironmentTech companies, e-commerce, or logistics firms focusing on process and system optimizationBusiness, finance, or tech companies analyzing data to support decision-making
Employer & Industry UsageUsed in industries emphasizing operational efficiency and system improvementsCommon in industries relying on data insights for strategic decisions

While both roles involve working with data and technical skills, the Internship Optimization Engineer focuses on improving operational processes and system performance, often requiring engineering or technical backgrounds. In contrast, Data Analyst Interns primarily analyze data sets to generate insights. Both roles are valuable entry points in tech and data-driven industries, but they serve different core functions.

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Internship Optimization Engineer jobs near you

Senior GPU Memory Architect

Nvidia

Durham, NC • On-site

Full-time

Re-posted 11 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

We are now looking for a Senior GPU Memory Architect. NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world-changing solutions for autonomous vehicles, AI, gaming, mobile systems.

What you will be doing: Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule. Participating in performance simulation of features to improve memory access efficiency. Implementing and maintaining high-level functional and performance models.

Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations. Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement. Creating architectural specifications and customer-facing documents.

Working with partners in the industry to generate specifications which take into account software interfaces to the GPU. Debugging performance and functional issues with high-level models, RTL simulation, and silicon. What we need to see: Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field.

A PhD with a focus in computer architecture is a plus. 6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects. Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team.

Your history of successfully mentoring junior engineers and interns is a huge plus. Ways to stand out from the crowd: Experience with hardware memory management unit, prefetching, or memory subsystems. Practical experience with multi-core systems and memory coherency.

Do you desire to be a part of a team of talented engineers developing ground-breaking GPU architectures from specification through implementation to extend the state of the art in GPU performance and functionality. Are you motivated to solve complex problems while optimizing performance, area, complexity, and power. If so, our GPU memory architecture group is looking for you.

With competitive salaries and a generous benefits package, 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 and, due to unprecedented market opportunities, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 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.

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

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