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Internship Nvidia Hardware Engineer Jobs in Perry, MI

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Internship Nvidia Hardware Engineer information

See Perry, MI salary details

$46.2K

$132.5K

$178.1K

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

As of Sep 4, 2026, the average yearly pay for internship nvidia hardware engineer in Perry, MI is $132,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $147,700.00 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.

What job categories do people searching Internship Nvidia Hardware Engineer jobs in Perry, MI look for?

The top searched job categories for Internship Nvidia Hardware Engineer jobs in Perry, MI are:

What cities near Perry, MI are hiring for Internship Nvidia Hardware Engineer jobs?

Cities near Perry, MI with the most Internship Nvidia Hardware Engineer job openings:

Internship Nvidia Hardware Engineer jobs near you
Infographic showing various Internship Nvidia Hardware Engineer job openings in Perry, MI as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $132,502 per year, or $63.7 per hour.

Junior Vision Automation Engineer

CSI - Control System Integrators

Lansing, MI • On-site

Full-time

Re-posted 10 days ago

Job description

"We are a growing automation team with a diversified client base!"
At CSI, our mission is to be "solutions first". We are always looking for people who want to join us in our pursuit and be part of a team that delivers on that promise.
We are going beyond traditional lines to integrate automation, controls, industrial IT and vision. So, we need different kinds of people, and all with special talents. We are constantly looking for more of them.
CSI is an automation solutions provider with global reach through partnerships and connections. At our heart, we have the spirit and size of a small company balanced with the breadth of a national firm.
Entry Level Vision Automation Engineer
CSI is seeking entry level vision automation engineers to join our growing team in Lansing, MI. Looking for individuals with a willingness to learn, a passion for vision automation, a positive attitude and strong work ethic.
RESPONSIBILITIES
  • ??????Assist with the design, development, testing, integration, and commissioning of industrial machine-vision applications.
  • Configure industrial cameras, lenses, lighting, sensors, and related vision hardware.
  • Develop and modify 2D and 3D machine-vision inspections using commercial vision platforms and/or image-processing libraries.
  • Perform image acquisition, preprocessing, feature extraction, measurement, pattern matching, segmentation, and defect-detection tasks.
  • Assist with laboratory feasibility testing and collect representative sample images and measurement data.
  • Document test results and communicate observed limitations or inconsistencies to senior engineers.
  • Assist in the integration of vision applications with PLCs, robots, HMIs, and other automation systems.
  • Test inspection performance using representative production samples.
  • Support machine debugging, runoff, installation, and production launch activities.
  • Travel to customer manufacturing facilities as required for installation, testing, and commissioning.
  • Participate in customer and internal technical discussions, clearly communicate project status and observed technical issues, and escalate feasibility concerns or application risks as appropriate.

QUALIFICATIONS
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, Robotics, Physics, Optical Engineering, or a related technical discipline; or a High School Diploma/GED with relevant hands-on experience in industrial automation, machine vision, controls, robotics, or a related field.
  • Basic understanding of digital imaging and machine-vision concepts, including resolution, exposure, focus, field of view, contrast, and image formation.
  • Programming experience through professional work, internships, university projects, or personal projects using a language such as Python, C#, C++, MATLAB, or similar.
  • Familiarity with basic image-processing concepts such as thresholding, filtering, edge detection, feature extraction, segmentation, and coordinate systems.
  • Strong analytical and hands-on troubleshooting ability.
  • Ability to read technical documentation and learn unfamiliar hardware and software independently.
  • Strong written and verbal communication skills.
  • Willingness to travel to customer manufacturing facilities and participate in equipment installation, testing, runoff, and commissioning.
  • Preferred
  • Internship, coursework, research, or project experience involving machine vision, computer vision, robotics, automation, or imaging.
  • Familiarity with OpenCV, Zebra Aurora Vision Studio, Cognex, Keyence, HALCON, or another vision platform.
  • Exposure to industrial cameras and machine-vision related hardware.
  • Familiarity with PLCs, industrial robots, or industrial automation.
  • Exposure to 3D imaging or laser profilometry.
  • Automotive or manufacturing experience.
  • A3 CVP - Basic certification.

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