In today’s fast-paced tech world, the explosion of RISC-V and AI chips represents a "once-in-a-generation" opportunity for engineers. With the global AI chip market projected to expand between $770 billion to $1 trillion by 2035, the future of VLSI is shifting from restrictive proprietary designs to open-source architectures. To lead this silicon revolution, MIT-WPU Pune offers an M.Tech programme in VLSI and Embedded Systems, a programme specifically designed to empower students with the high-demand skills needed for this evolving landscape.

In this blog, let us dive deeper into why the semiconductor industry is moving toward "open silicon" and what technical shifts you need to master to stay ahead.

What is RISC-V?

To understand RISC-V, you first need to grasp the Instruction Set Architecture (ISA). Think of the ISA as the "translator" or the fundamental bridge between a computer’s software and its physical hardware. Traditionally, these translators—like those from ARM (used in most smartphones) or Intel (used in PCs)—were proprietary. This meant that if a company wanted to build a chip, it had to pay substantial royalties and adhere to strict legal requirements.

RISC-V—often called the "Linux of processors" provides a free, open-standard ISA that any engineer can use, modify, and build upon without paying a cent in licensing fees. It comes with the following features,

  • Open-Source & Royalty-Free: RISC-V is free to use, modify, and distribute, fostering collaboration and reducing costs.
  • Simple & Modular: While traditional architectures are "bloated" with thousands of legacy instructions, RISC-V starts with a "frozen" base of around 40-47 instructions.
  • Accessibility for Innovation: This simplicity is a goldmine for the future of VLSI technology. It enables B.Tech students and startups to design specialised chips for AI or IoT (Internet of Things) applications without the heavy financial and legal burdens of the past.

The Impact of AI on Chip Design

In the traditional hardware world, CPUs are "generalists." They are built to handle everything from opening a browser to running a spreadsheet, but they aren't exceptionally fast at any one thing. AI, however, demands "specialists." Modern AI workloads—like those powering ChatGPT or autonomous driving—rely on massive parallel calculations, such as matrix multiplications and tensor operations. This is where the future of VLSI takes a turn toward Domain-Specific Architectures (DSA).

  • Custom Extensions: Because RISC-V is modular, designers can "plug in" custom instructions specifically for AI math. If you need a chip that specifically excels at image recognition, you can add an extension for that exact task.
  • Energy Efficiency: By creating "specialised" silicon, chips can perform complex AI tasks with much lower power consumption. This is critical for edge devices like smartwatches or drones that run on tiny batteries.
  • Hardware-Software Co-design: In the RISC-V era, software engineers and hardware designers work together to optimise the silicon specifically for the code it will run, achieving performance gains that general-purpose chips simply cannot match.

FinFET vs. GAAFET: Scaling the Future

While RISC-V handles the "logic" of the chip, we must also look at the physical "skin and bones"—the transistors. As we shrink AI chips to 3nm and 2nm nodes, we encounter a major physical hurdle: power leakage. This is where the physical side of the AI chip revolution defines the future of VLSI technology.

  • FinFET (The Current Standard): Introduced around the 22nm node, the Fin Field-Effect Transistor uses a 3D "fin" where the gate wraps around the channel on three sides. However, as we go below 5nm, the gate loses its grip, and current starts "leaking" out, wasting power and creating heat.
  • GAAFET (Gate-All-Around): This is the next frontier. In a GAAFET, the gate completely surrounds the channel (often shaped like stacked nanosheets) on all four sides. This provides superior electrostatic control, drastically reducing leakage. It allows for higher performance at lower voltages—the exact requirement needed for the next generation of power-hungry AI hardware.

Career Opportunities in Open Source VLSI

The rise of open-standard hardware has fundamentally changed the job market. No longer is chip design restricted to a few massive corporations in Silicon Valley. Today, the barrier to entry has vanished, opening up a world of diverse career opportunities in open-source VLSI for students.

  • RTL Design Engineer: You will create the logic blueprint (the "brain") for custom RISC-V cores using languages like Verilog or SystemVerilog.
  • Design Verification (DV) Engineer: With the complexity of AI chips, verifying that a design is error-free is the biggest job market. You’ll use tools like Verilator or UVM.
  • Physical Design Engineer: You’ll be responsible for the "place and route" process, translating initial digital logic (RTL) into actual silicon layouts (GDSII, i.e., Graphic Data System II) flow.

Under the India Semiconductor Mission (ISM), the Government of India is pouring billions into making India a global hub. Companies like Google, NVIDIA, and countless Indian startups are aggressively hiring engineers who understand the RISC-V ecosystem. By using industrial-grade open tools like OpenLane or Yosys, students can now build professional portfolios before they even graduate.

Higher Education: The MIT-WPU Edge

To truly master the future of VLSI technology, a deep dive into advanced specialisations is essential. The M.Tech in Electronics and Communication Engineering (VLSI and Embedded Systems) at MIT-WPU Pune is designed to transform B.Tech graduates into industry-ready experts.

  • Cutting-Edge Curriculum: Gain hands-on expertise in critical domains such as Advanced VLSI Design, System on Chip (SoC), and Low Power VLSI Design.
  • AI Integration: The programme includes specialised tracks like AI Techniques and Applications, ensuring you can design the brains behind next-gen smart devices.
  • Industry-Standard Tools: Students get extensive exposure to world-class EDA suites in collaboration with Synopsys, the same tools used by global semiconductor giants like Intel, Qualcomm, and NVIDIA.
  • Global Readiness: By blending rigorous research with practical simulation labs, the programme ensures you are prepared to lead in the rapidly expanding "Zero to Silicon" ecosystem.

Final Words

As India transforms into a global semiconductor hub, the journey from using apps to designing the chips that power them is more attainable than ever. Embracing the future of VLSI requires specialised training and a mindset for innovation. By enrolling in the M.Tech Electronics and Communication Engineering (VLSI and Embedded Systems) at MIT-WPU Pune, you are not just earning a degree; you are mastering the tools of the silicon revolution. The future is open, the world is moving toward RISC-V, and your time to lead is now.