Nvidia NVIDIA Ignite Internships Hardware Engineering 

United States, California 

49755259

time type

Full time

posted on

Posted 8 Days Ago

job requisition id

The NVIDIA Ignite program gives you everything you need to start building your career—a whole lot earlier than you might expect. This inclusive, 12-week summer pre-internship program was created to give current first and second yearstudents, from a variety of backgrounds, a chance to work hands-on withreal technicalexperts on real projects.a truly uniqueplace to ignite your career.

Our 12-week internship ison-site in Santawith living expenses over the summer

Potential Internships in this field include:

• AI Developer Technology

• ASIC Physical Design and Timing

• GPU Verification and Design

• Hardware ASIC

• Hardware CPU Infrastructure

• HWInf Content/Performance

• Power Architect

What we need to see:

• You are currently afirst year(class of 2029) or second year (class of 2028)undergradpursuing your bachelor’s degree at a four-year university in the United States in either of the following: CS, CE, EE, Mathematics, or related fields

• Demonstrate passion through involvement in relevant clubs, leadership roles, extracurricular projects, and more

• Enrolled in courses in computing and engineering, specifically geared towards HW basics

• Basic knowledge of one or more of the following programming languages C, C++, Python, Perl, MATLAB

• Creativity and problem-solving mentality; willingness to develop new skills; ability to adapt to new experiences

• The desire to learn new concepts and tools in a growing and evolving workspace

Ways to Stand Out from the crowd:

• Students seeking their first relevant industry or corporate internship experience

• Demonstrated initiative to learn about technology, computers, artificial intelligence, machine learning, computer vision, robotics, parallel computing, etc.

• Basic knowledge of one of the following CAD Skills: Catia,SiemensNX,SolidworksCreo

• Understanding of VLSI design, computer architecture, computer arithmetic CMOS transistors, and circuits

• Basic knowledge of Verilog/VHDL

• Background of modern GPU API’s (CUDA, OpenCL)