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Internship Nvidia Hardware Engineer Jobs (NOW HIRING)

Wayve

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

Hardware Architect - NVLink Fusion

Santa Clara, CA · On-site

$74 - $97.50/hr

Model, analyze, and explain the performance and power advantages of NVIDIA solutions. * Guide customers and firmware engineers to extract the most performance fromNVIDIA hardware. What we need to see:

Nvidia

Hardware Architect - NVLink Fusion

Austin, TX

$62.50 - $82.25/hr

Model, analyze, and explain the performance and power advantages of NVIDIA solutions. * Guide customers and firmware engineers to extract the most performance fromNVIDIA hardware. What we need to see:

Nvidia

OR

$63.50 - $87/hr

Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...

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 ...

Nvidia

AI Hardware Architect

Santa Clara, CA · On-site

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

$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 ...

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Internship Nvidia Hardware Engineer information

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$51K

$146.2K

$196.5K

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

As of Jun 13, 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, and why are they important?

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 June 2026, with employment types broken down into 14% As Needed, 29% Full Time, and 57% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Founding Hardware Engineer

Brahma Consulting Group

San Francisco, CA

Full-time

Posted 8 days ago

Job description

We’re looking for hardware engineers with hands-on experience in chip design workflows—ideally those who have contributed to real-world tapeouts at companies like Apple, NVIDIA, Etched, or leading EDA vendors such as Synopsys or Cadence. Candidates with exposure to AI-for-chip-design initiatives or a strong understanding of modern ML workflows will stand out.


Responsibilities

  • Drive direction and technical leadership across our multi-agent platform and domain-specific hardware knowledge base.
  • Bring a deep understanding of chip design workflows and help shape product roadmap with real-world context.
  • Integrate seamlessly into customer pipelines across RTL, PD, and architectural stages.
  • Track evolving trends in both semiconductor design and AI-assisted design automation.
  • Create internal benchmarks and datasets to rigorously evaluate system performance across RTL, PD, and architectural use cases.


Qualifications

  • Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or a related discipline (interns may be considered for their flair).
  • Hands-on experience in a semiconductor or EDA environment (e.g., NVIDIA, AMD, Intel, Synopsys, Cadence), 1+ years of full-time experience required, 3+ years preferred.
  • Proficiency in scripting (Python, Bash) and experience with automation or tooling for design verification or integration.


SPECIALTY: DI (Design Integration, RTL, Architecture)

  • Proven track record of developing architectures and RTL for hardware blocks or IP.
  • Experience with SystemVerilog, Verilog & SoC design methodologies.


SPECIALTY: PD (Physical Design)

  • Part of leading edge tapeouts (7nm or smaller). Worked on at least one of synthesis, floor planning, place-and-route, physical verification, and timing.
  • Familiar with one of Genus, Innovus, Tempus, Mentor Calibre, Synopsys IC Compiler, or other relevant EDA CAD tool (and associated TCL).


Preferred Experience

  • Experience on AI-for-chip-design initiatives (e.g., at Synopsys, NVIDIA, GoogleDeepMind).
  • Understanding of DFT, power optimization techniques, or low-power design flows.
  • Experience on an IP development team, developing PCIe, PHY, LPDOR, MemoryControllers, NoC, CPU subsystems, or similar.