Hardware Engineering Intern

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $176k

$128k $228k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $137,800–$214,249.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1472 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1109 roles with salary data.

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At a glance

TL;DR · Hardware Engineering Intern

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NVIDIA 2027 Ignite Internships: Hardware Engineering offers first and second year undergraduate students a twelve-week immersive summer pre-internship program. Participants work alongside technical experts on real projects within various hardware domains, including ASIC Physical Design and Timing, GPU Verification and Design, and Hardware Infrastructure. The role involves developing skills in hardware basics while solving technical problems related to AI, machine learning, robotics, and parallel computing. Candidates must demonstrate proficiency in programming languages such as C, C++, Python, Perl, or MATLAB, along with basic knowledge of Verilog, SystemVerilog, or VHDL. The work requires understanding VLSI Design, Computer Architecture, CMOS Transistors, and Circuits. Additionally, candidates may utilize CAD tools like Catia, SiemensNX, or Solidworks Creo and gain experience with modern GPU APIs like CUDA and OpenCL.

Skills

C C++ Python Perl MATLAB Verilog SystemVerilog VHDL CUDA OpenCL Catia SiemensNX Solidworks Creo VLSI Design Computer Architecture Computer Arithmetic CMOS Transistors Circuits Artificial Intelligence Machine Learning Computer Vision Robotics Parallel Computing

What you'll do

Work hands-on with technical experts on real-world engineering projects.
Develop software or hardware solutions within the NVIDIA ecosystem.
Apply knowledge of programming languages like C, C++, or Python to technical tasks.
Utilize CAD tools such as Catia, SiemensNX, or Solidworks Creo.
Implement designs using Verilog, SystemVerilog, or VHDL.
Apply understanding of VLSI design, computer architecture, and CMOS transistors to projects.
Utilize modern GPU APIs like CUDA or OpenCL for development.
Adapt to new tools and concepts in a fast-paced, evolving workspace.

What we're looking for

Must be a first-year (class of 2030) or second-year (class of 2029) undergraduate at a four-year university in the United States.
Must be pursuing a bachelor’s degree in EE, CE, CS, Mathematics, or a related field.
Must be enrolled in computing and engineering courses specifically geared towards hardware basics.
Must demonstrate basic knowledge of one or more programming languages including C, C++, Python, Perl, or MATLAB.
Must demonstrate passion through involvement in relevant clubs, leadership roles, and extracurricular projects.
Must have a creativity and problem-solving mentality with a willingness to learn new concepts and tools.
Basic knowledge of Verilog, SystemVerilog, or VHDL (preferred).
Basic knowledge of one of the following CAD tools: Catia, SiemensNX, Solidworks, or Creo (preferred).

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