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Internship Nvidia Hardware Engineer Jobs in Raleigh, NC

... the hardware. Ideal candidates will have a strong track record of understanding and analyzing ... NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high ...

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

... * 3+ years Hardware Engineering experience defining architecture of GPUs or accelerators used for training of AI models * In-depth knowledge of nVidia/AMD GPU capabilities and architectures

Temporary IT Analyst / Programmer II

Raleigh, NC · On-site

$30 - $39/hr

This role involves managing multiple interns who will contribute to software development along ... of hardware into systems for field agricultural applications. The position requires hands-on ...

... hardware, insulation, structures, foundations and electrical principles to: * Design transmission ... Related engineering, internship or co-op work experience. * Proficiency with PLS-CADD and PLS-POLE ...

... hardware, insulation, structures, foundations and electrical principles to: * Design transmission ... Related engineering, internship or co-op work experience. * Proficiency with PLS-CADD and PLS-POLE ...

... hardware, insulation, structures, foundations and electrical principles to: * Design transmission ... Related engineering, internship or co-op work experience. * Proficiency with PLS-CADD and PLS-POLE ...

... hardware, insulation, structures, foundations and electrical principles to: * Design transmission ... Related engineering, internship or co-op work experience. * Proficiency with PLS-CADD and PLS-POLE ...

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Internship Nvidia Hardware Engineer information

See Raleigh, NC salary details

$49.6K

$142.1K

$191K

How much do internship nvidia hardware engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for internship nvidia hardware engineer in Raleigh, NC is $142,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $158,400.00 per year, depending on experience, location, and employer.

What is the difference between Internship Nvidia Hardware Engineer vs Nvidia Hardware Engineer?

AspectInternship Nvidia Hardware EngineerNvidia Hardware Engineer
QualificationsEnrolled in a relevant degree program, some technical courseworkBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields
Work EnvironmentInternship program, mentorship, collaborative teamsFull-time, professional environment, project ownership
ResponsibilitiesAssist in hardware design, testing, and documentationDesign, develop, and optimize hardware components and systems

Internship Nvidia Hardware Engineers are students gaining practical experience, focusing on learning and assisting with hardware projects. Nvidia Hardware Engineers are full-time professionals responsible for designing and developing advanced hardware solutions. The internship offers a pathway to a career in hardware engineering, while full-time roles involve more responsibility and expertise.

What are the key skills and qualifications needed to thrive as an internship Nvidia hardware engineer?

To thrive as an Internship Nvidia Hardware Engineer, you need a solid understanding of electrical engineering fundamentals, digital/analog circuit design, and relevant coursework or project experience. Familiarity with hardware description languages (such as Verilog or VHDL), simulation tools (like ModelSim or Cadence), and version control systems is typically expected. Strong problem-solving abilities, effective teamwork, and clear communication distinguish top candidates in this role. These skills and qualities are crucial to efficiently contribute to complex hardware development projects and collaborate within multidisciplinary engineering teams.

What does an internship Nvidia hardware engineer do?

An Internship Nvidia Hardware Engineer works alongside experienced engineers to assist in designing, testing, and validating hardware components such as GPUs, processors, and related systems. Interns typically get hands-on experience with circuit design, simulation, debugging, and performance analysis. They may also collaborate with cross-functional teams to optimize hardware for efficiency and performance. This role gives students exposure to industry-standard tools and real-world engineering challenges, preparing them for future careers in hardware engineering.

What kinds of projects can an intern expect to work on as a hardware engineer at Nvidia?

As a Hardware Engineer intern at Nvidia, you can expect to be involved in hands-on projects that support the development, testing, and validation of hardware components such as GPUs, system boards, or AI accelerators. Interns often collaborate closely with experienced engineers, contributing to tasks like schematic reviews, board bring-up, signal integrity analysis, or automation of testing procedures. These projects provide opportunities to learn industry-standard tools and workflows, as well as gain practical experience in problem-solving and cross-functional teamwork. This exposure not only builds technical skills but also helps interns understand the end-to-end hardware development lifecycle.
What are the most commonly searched types of Nvidia Hardware Engineer jobs in Raleigh, NC? The most popular types of Nvidia Hardware Engineer jobs in Raleigh, NC are:
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What cities near Raleigh, NC are hiring for Internship Nvidia Hardware Engineer jobs? Cities near Raleigh, NC with the most Internship Nvidia Hardware Engineer job openings:

Senior GPU Memory Architect

Nvidia

Durham, NC

Full-time

Re-posted 10 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company.

What you will be doing:

  • Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency.

  • Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$.

  • Develop and enhance architecture prototype models for power and noise analysis.

  • Participate in performance and power simulation of features to analyze, define, and improve energy per byte.

  • Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations.

  • Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.

  • Collaborate with outside partners on system infrastructure.

What we want to see:

  • 10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.

  • Bachelors in Electrical Engineering, Computer Science, or related field (or equivalent experience).

  • Expertise in power analysis and modeling in pipeline-based architectures.

  • Good understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX, etc.

  • Experience with C, C++, and some scripting languages.

Ways to stand out from the crowd:

  • MS/PhD in Electrical Engineering, Computer Science, or related field

  • Experience with hardware design languages such as Verilog or VHDL

  • Prior experience in developing and optimizing algorithms for power efficiency

  • Demonstrated ability to innovate and drive continuous improvement in system architecture

  • Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.

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 March 3, 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