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Internship Nvidia Hardware Engineer Jobs (NOW HIRING)

Hardware Engineer

Sunnyvale, CA · On-site

$185K - $247K/yr

The Role We are seeking an experienced Hardware Engineer to join our Hardware team and play a key ... Familiarity with NVIDIA and Qualcomm SoC applications * Experience working with contract ...

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 ... SLT hardware engineering experience. * Experience with test sockets and thermal plungers is a ...

Hardware Engineer

Sunnyvale, CA · Hybrid

$185K - $247K/yr

The Role We are seeking an experienced Hardware Engineer to join our Hardware team and play a key ... Familiarity with NVIDIA and Qualcomm SoC applications * Experience working with contract ...

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 ... ATE/SLT hardware engineering experience. Experience with test sockets and thermal plungers is a ...

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 ...

Showing results 21-40

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 3, 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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What states have the most Internship Nvidia Hardware Engineer jobs?

States with the most job openings for Internship Nvidia Hardware Engineer jobs include:

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.

System Software Engineer - CUDA Chips

Nvidia Corporation

Santa Clara, CA • On-site

$203K - $240K/yr

Full-time

Re-posted 13 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 hiring engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from across deep learning, scientific computation, and self-driving cars, video games and virtual reality.
CUDA helps define a unified programming model across a range of system configurations and hardware capabilities accomplished through CUDA driver interaction with GPU hardware, kernel mode drivers, and the operating system. This role incorporates strong system software programming skills, a detailed understanding of operating systems and kernel programming, hardware architecture, as well as excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to craft, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices!
What you'll be doing:
You can expect be heavily involved through all aspects of development of our world-class products, ranging up front from design feedback, early modeling, simulation of hardware in pre-silicon environments, all the way through to early silicon bringup and final feature deployment in production software ultimately delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures!
In this role, you will:
  • Develop Software on Pre-Si environments(Simulation/Emulation)
  • Own and drive CUDA enablement for new Silicon and Architecture
  • Work with SW, HW and relevant teams to develop, stabilize and productize CUDA features for new chips and systems
  • Promote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips
  • Help define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams
  • Write effective, maintainable, and well-tested code
  • Developing code for multiple operating systems

What we need to see:
  • BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience
  • 2+ years of relevant systems software development experience
  • Strong C programming skills, knowledge of parallel programming
  • Excellent knowledge of computer system architectures
  • Experience with operating system interfaces for threads, process control, and virtual memory
  • Experience writing and debugging multithreaded programs
  • Background with working with large codebases
  • Deep understanding of technology and passionate about what you do
  • Good written communication as well as strong collaborative skills and ability to effectively guide and influence across groups

Ways to stand out from the crowd:
  • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
  • Knowledge of memory coherence and consistency models
  • Background with kernel mode development
  • Experience with Windows, Linux, or macOS driver development
  • Some familiarity with C++, CUDA experience

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 26, 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.

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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