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Internship Nvidia Hardware Engineer Jobs (NOW HIRING)

Nvidia

AI Hardware Architect

Austin, TX

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 ...

Nvidia

Senior Hardware Systems Engineer

Santa Clara, CA · On-site

$129K - $173K/yr

We are looking to hire a Hardware Systems Engineer who will work in the test solutions group at ... NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ...

Bedrock Robotics

Hardware Engineer

San Francisco, CA · On-site

$145K - $192K/yr

... 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 ...

Arrow Electronics

Hardware Engineer

Benton Harbor, MI · On-site

$79.90 - $126.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Hardware Engineer# ** **# **What You'll Be Doing:*** Gather requirements and finalize the ... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ...

Arrow Electronics

Hardware Engineer

Benton Harbor, MI · On-site

$79K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Position: Hardware Engineer What You'll Be Doing: * Gather requirements and finalize the ... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ...

Arrow Electronics, Inc.

Hardware Engineer

Benton Harbor, MI · On-site

$79K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Position: Hardware Engineer What You'll Be Doing: * Gather requirements and finalize the ... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ...

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Internship Nvidia Hardware Engineer information

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$146.2K

$196.5K

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

As of Aug 14, 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 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.
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Internship Nvidia Hardware Engineer jobs near you
Infographic showing various Internship Nvidia Hardware Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% 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.

Senior Performance Engineer - Deep Learning

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 12 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

Job Summary:
NVIDIA is a leading company in AI technology, and they are seeking a Senior Performance Engineer to enhance their Deep Learning performance engineering team. The role involves building and optimizing libraries and tools for Deep Learning applications, collaborating on systems research, and engaging with the open-source community.
Responsibilities:
• Build and support Transformer Engine, the open-source library for accelerating the training of Large Language Models.
• Collaborate on systems research that improves Deep Learning model performance, such as training using extremely low precision, parallelism methods, etc.
• Implement, benchmark, and optimize new Deep Learning models such as LLMs straight out of groundbreaking research to scale efficiently on NVIDIA GPUs and systems.
• Build and contribute to NVIDIA submissions on community benchmarks such as MLPerf.
• Engage with the open-source community as well as support enterprise customers and partners by delivering the benefits of NVIDIA’s latest hardware and software innovations.
• Influence the design of new hardware generations and core platform software components for NVIDIA hardware and systems.
Qualifications:
Required:
• BS or equivalent experience in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in C++ and Python programming.
• Strong background, experience, or coursework in parallel systems programming, preferably on GPUs.
• Knowledge of Computer Architecture, Code Optimization, and/or Operating Systems.
• Proven experience in developing large software projects.
• Excellent verbal and written communication skills.
Preferred:
• Experience in PyTorch, JAX, or any other DL framework.
• Experience with performance analysis, profiling, and code optimization techniques, especially with multi-GPU or multi-node systems.
• Knowledge of modern LLM architectures, attention mechanisms, and/or low-level DL libraries such as cuBLAS, cuDNN, and cuSOLVER.
• Experience in writing GPU kernels using any of - CUDA, OpenAI Triton, CuTeDSL, Pallas, or other similar libraries.
• Any past contributions to the open source community and/or experience working with multidisciplinary teams also showcase readiness for the team's responsibilities.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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

Year founded

1993

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