9 Work-Based Learning Opportunities with Stipends in AI and VLSI in 2024

Step into the future of technology as we unveil exclusive work-based learning opportunities that go beyond the ordinary.

Introduction

Welcome to the Tech Oasis of 2024, where Work-Based Learning opportunities glisten like silicon crystals under the sun! If you’re eager to embark on a journey through the cutting-edge realms of semiconductor technology, artificial intelligence (AI), and Very Large Scale Integration (VLSI), you’ve arrived at the right oasis.

Picture yourself not just as a spectator, but as a key player in the creation of the tech landscape. In this bustling desert of innovation, the following internships are your passports to a world where circuits hum with potential, algorithms dance in harmony, and silicon dreams take shape.

Analogy:


Imagine this internship search as a thrilling treasure hunt across a digital desert. The dunes are made of possibilities, and each internship is a hidden gem waiting to be discovered.

As you navigate through this silicon landscape, these opportunities are like mirages that turn into real oases of experience, mentorship, and, of course, stipends. So, gear up, for the journey promises not just professional growth but a chance to quench your thirst for knowledge in the ever-evolving world of tech.

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What is Work Based Learning?

Work-Based Learning (WBL) is an educational strategy that integrates real-world work experiences with traditional classroom learning.

The primary goal of work-based learning is to provide students with practical, hands-on experiences in a professional work environment, allowing them to apply theoretical knowledge in real-world scenarios.

This approach helps bridge the gap between academic learning and the skills and competencies required in the workforce.

Read More: Indian Semicon Startup Series: BITSILICA

10 Work-Based Learning opportunities

Ready to jumpstart your career in cutting-edge fields? Here are 10 incredible work-based learning opportunities offering valuable hands-on experience, mentorship, and stipends in semiconductor, AI, and VLSI, starting in January 2024:

1. Intel

  • Locations: California, Oregon, Arizona, Massachusetts, and more.
  • Qualifications: Bachelor’s or Master’s degree in EE, CS, Physics, etc.
  • Timings: Three sessions – Jan-May, Jun-Aug, Sep-Dec. Apply early!
  • Stipend: Highly competitive, varies by location and program.
  • Focus: AI hardware, neuromorphic computing, advanced lithography.
  • Link to apply

2. TSMC

  • Location: Taiwan.
  • Qualifications: PhD students in semiconductor technology-related fields.
  • Timings: Two sessions – Jan-June, Jul-Dec. Apply in May and November.
  • Stipend: TWD 45,000/month (~USD 1,500) + travel/accommodation assistance.
  • Focus: Wafer fabrication, process development, integration, and characterization.
  • Link to apply

3. Nvidia

  • Locations: California, Oregon, and other NVIDIA offices.
  • Qualifications: Bachelor’s or Master’s degree in CS, AI, Robotics, etc.
  • Timings: Three sessions – Jan-May, Jun-Aug, Sep-Dec. Apply early!
  • Stipend: Competitive, varies by location and program.
  • Focus: Computer vision, natural language processing, robotics.
  • Link to apply

4. Samsung

  • Locations: South Korea, USA, and other countries.
  • Qualifications: Bachelor’s or Master’s degree in EE, CS, Materials Science, etc.
  • Timings: Three sessions – Jan-May, Jun-Aug, Sep-Dec. Apply early!
  • Stipend: Competitive, varies by location and program.
  • Focus: Memory technology, logic design, circuit design, advanced packaging.

4. Qualcomm

  • Locations: California, Texas, and other Qualcomm offices.
  • Qualifications: Bachelor’s or Master’s degree in EE, CS, Mathematics, etc.
  • Timings: Two sessions – May-Aug, Dec-Mar. Apply by February and September.
  • Stipend: Competitive, varies by location and program.
  • Focus: 5G research, AI for mobile devices, IoT, connected car technologies.

5. Cadence

  • Locations: California, Massachusetts, and other Cadence offices.
  • Qualifications: Bachelor’s or Master’s degree in EE, CS, etc.
  • Timings: Two sessions – Jun-Aug, Dec-Mar. Apply early!
  • Stipend: Competitive, typically around USD 4,000-6,000/month.
  • Focus: EDA tools, custom IC design, verification, IP creation.
  • Link to apply

6. Synopsis

  • Locations: California, Massachusetts, and other Synopsys offices.
  • Qualifications: Bachelor’s or Master’s degree in EE, CS, etc.
  • Timings: Two sessions – May-Aug, Dec-Mar. Apply early!
  • Stipend: Competitive, typically around USD 4,000-6,000/month.
  • Focus: IP design, RTL verification, physical design, system-level design.
  • Link to apply

7. Global Foundries

  • Locations: New York, Vermont, Singapore, and other GlobalFoundries sites.
  • Qualifications: Bachelor’s or Master’s degree in EE, CS, Physics, Materials Science, etc.
  • Timings: Two sessions – Jun-Aug, Dec-Mar. Apply early!
  • Stipend: Competitive, typically around USD 4,000-6,000/month.
  • Focus: CMOS technology, analog/mixed-signal design, RF design, process integration.
  • Link to apply

8. Xilinx

  • Locations: California, Massachusetts, and other Xilinx offices.
  • Qualifications: Bachelor’s or Master’s degree in EE, CS, etc.
  • Timings: Two sessions – Jun-Aug, Dec-Mar. Apply early!
  • Stipend: Competitive, typically around USD 4,000-6,000/month.
  • Focus: FPGAs, AI accelerators, embedded systems, high-performance computing.
  • Link to apply

9. IIT Semiconductor Research Internship:

  • Locations: Various IIT campuses across India.
  • Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, Electronics Engineering, or related fields.
  • Timings: Two sessions – Jan-June, Jul-Dec. Apply by the respective deadlines, typically in the preceding November and May.
  • Stipend: Varies depending on the program and funding source, typically around INR 10,000-15,000/month.
  • Focus: VLSI design, MEMS, nanoelectronics, semiconductor materials, device physics.
  • Link to apply

Conclusion

These work-based learning opportunities provide a unique chance to immerse yourself in cutting-edge technologies, work alongside industry leaders, and pave the way for a successful career in semiconductor, AI, and VLSI. Remember, deadlines vary, so don’t miss out on the chance to kickstart your career in these dynamic and rapidly evolving fields. Best of luck!

Editorial Team
Editorial Team
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