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Internship Nvidia Hardware Engineer Jobs (NOW HIRING)

Senior Sensor Hardware Safety Engineer

Santa Clara, CA · Hybrid

$129K - $173K/yr

At NVIDIA, we build system, hardware, and software technologies that enable these systems to operate safely. Our Hardware Safety Engineering team is seeking a highly motivated Sr Sensor Hardware ...

Senior Sensor Hardware Safety Engineer

Santa Clara, CA · Hybrid

$129K - $173K/yr

At NVIDIA, we build system, hardware, and software technologies that enable these systems to operate safely. Our Hardware Safety Engineering team is seeking a highly motivated Sr Sensor Hardware ...

Hardware Engineer

San Francisco, CA · On-site

$100 - $125/hr

... hardware engineer to help define system architecture, test and integrate modules into the system ... High performance embedded compute, in particular Nvidia Jetson lineup * High and low speed ...

$150 - $200/hr

Its engineers build critical infrastructure to eliminate friction in scientific research ... NVIDIA platforms including H200 and GB200/NVL72 architectures. You will own the full hardware ...

NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial ... Nvidia solutions. * Guide customers and firmware engineers to extract the most performance from ...

Its engineers build critical infrastructure to eliminate friction in scientific research ... NVIDIA platforms including H200 and GB200/NVL72 architectures. You will own the full hardware ...

NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial ... Nvidia solutions. * Guide customers and firmware engineers to extract the most performance from ...

Senior HPC Hardware Engineer

Dallas, TX · On-site

$109K - $145K/yr

THE POSITION NMC² is seeking a Senior HPC Hardware Engineer to join the Compute Engineering team ... Design, configure, and manage a high-performance compute fleet comprising large-scale GPU (NVIDIA ...

Solutions Architect - NVIDIA Cloud Partners

OR · On-site +1

$63.50 - $87/hr

Do you want to be part of the team that brings GenAI, AI, ML, etc. hardware and software ... What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...

Showing results 41-60

Internship Nvidia Hardware Engineer information

See salary details

$51K

$146.2K

$196.5K

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

As of Sep 7, 2026, the average yearly pay for internship nvidia hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

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 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 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 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.

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Infographic showing various Internship Nvidia Hardware Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Lead Hardware Design Validation Engineer - Memory Subsystem

Nvidia

Santa Clara, CA • On-site

$145K - $191K/yr

Full-time

Re-posted 23 hours ago


Key responsibilities

  • Lead the enablement, validation, and failure analysis of HBM/GDDR memory for NVIDIA's datacenter and graphics products.

  • Review memory partner's design limits and test methodologies, and develop characterization and test plans for each memory generation.

  • Work closely with memory partners and cross-functional teams to enable memory into production and guide product-level decisions for the memory subsystem.


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

Widely considered to be one of the technology world's most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. NVIDIA's System Product Team is looking for curious, collaborative, and motivated hardware engineers to take our GPU memory subsystem from first silicon power-on to production.

What you will be doing:

  • Hands-on leadership of HBM/GDDR enablement, validation, and failure analysis for NVIDIA's datacenter and graphics products.

  • Drive review of memory partner's design limits and test methodology. Integrate learnings into unique characterization and test plans for each memory generation.

  • Apply understanding of controller design, board design, and DRAM design to define and refine characterization, validation, and POR set methodologies.

  • Work closely with memory partners to successfully enable memory into production.

  • Work cross-functionally with multiple hardware design and software teams.

  • Guide product level decisions for the memory subsystem that span ASIC/VLSI/Board/ATE.

What we need to see:

  • Masters or higher in Electrical engineering (or equivalent experience).

  • 10+ years of relevant hands-on experience in high-speed DRAM design and test.

  • Broad comprehension of ASIC design, mixed signal design, and power/signal integrity concepts.

  • Strong fundamentals in science, engineering, and data analysis.

  • Very comfortable being hands-on with hardware and software.

  • Working knowledge of Linux, scripting, programming, computer systems, and data analysis methods.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 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

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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