Next Cohort: March 2025

Design the Next Generation of Intelligent Chips

Master AI-driven semiconductor manufacturing, advanced chip architecture, and nanolithography at the nation's premier private engineering academy.

0 % Placement Rate
0 + Industry Partners
0 nm Process Node Training
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About the Academy

Forging the Future of
Silicon Intelligence

Pioneering Curriculum

The first private academy to integrate deep learning directly into semiconductor design workflows, from RTL to GDSII.

Semiconductor manufacturing equipment in clean room environment

Industry Velocity

Curriculum updates every 8 weeks to match foundry roadmaps. Train on 3nm process nodes before they reach mass production.

Advanced microchip processor close-up with circuit patterns

Clean Room Access

Students operate in Class 10 cleanroom environments with EUV lithography simulation suites and electron beam writers.

Scientist in cleanroom suit working with semiconductor equipment
Flagship Facility
0 weeks Intensive Program
0 hours Hands-on Lab Time
0 :1 Student-Instructor Ratio
Programs

Four Pathways to
Chip Mastery

Each program includes fabrication simulation, AI-assisted design tools, and direct industry mentorship.

01

Semiconductor Design

From transistor-level physics to full SoC architecture. Master Verilog, SystemVerilog, and AI-accelerated EDA workflows.

  • Digital & Analog IC Design
  • Physical Design & STA
  • AI-Driven Floorplanning
  • Signoff Verification
16 weeks Beginner-friendly
02

AI Microelectronics

Design neural processing units, in-memory computing arrays, and neuromorphic chips for edge AI applications.

  • Neural Accelerator Design
  • Spiking Neural Networks
  • ReRAM & MRAM Arrays
  • Low-Power Inference
20 weeks Intermediate
03

Chip Manufacturing

End-to-end fabrication mastery: photolithography, etching, deposition, CMP, and AI-optimized yield management.

  • EUV & DUV Lithography
  • Process Integration
  • Defect Detection AI
  • Yield Engineering
24 weeks Beginner-friendly
04

Nano Engineering

Push beyond Moore's Law with carbon nanotubes, 2D materials, quantum dots, and sub-1nm transistor research.

  • Graphene & TMD Devices
  • Quantum Dot Arrays
  • Self-Assembled Lithography
  • Post-CMOS Architectures
28 weeks Advanced
Semiconductor Lab

Student Chip
Engineering Projects

Real designs. Real tapeouts. Real impact on the future of computing.

Neural network processor chip architecture visualization
5nm TSMC 2.4 TOPS/W
AI Accelerator

NeuroPlex NPU

Sparsity-aware neural processing unit with dynamic precision scaling for transformer inference at the edge.

SK JL MR
+2
Memory chip array with blue circuit illumination
22nm FD-SOI 8MB Array
Memory System

MemristorX Array

Analog in-memory computing array using HfO2 memristors for vector-matrix multiplication with 8-bit precision.

AT BW
Photonic sensor device with laser alignment
40nm CMOS 94 dB DR
Sensor

PhotonEye LiDAR

Solid-state SPAD array with on-chip TDC and histogram processing for automotive LiDAR at 1550nm wavelength.

CY DK EP
+4
Quantum processor chip with interference patterns
7nm Samsung 1.8 TOPS/W
AI Accelerator

QuantumBridge QPU

Hybrid classical-quantum processor with cryogenic CMOS control electronics for 32-qubit operation.

FH GS
3D stacked memory chip cross-section
12nm GlobalFoundries 16GB HBM
Memory System

StackCache 3D

Through-silicon via array with thermal-aware placement for high-bandwidth memory stacking in AI training systems.

IN JO KP
Biosensor microfluidic chip with cell detection
65nm CMOS fM Sensitivity
Sensor

BioSense Lab-on-Chip

Integrated electrochemical sensor array with ISFET readout for real-time DNA sequencing and pathogen detection.

LQ MR
+3
Contact

Begin Your
Journey

Applications for the March 2025 cohort are now open. Schedule a campus tour or speak with our admissions team.

Email [email protected]
Phone +1 (408) 555-6382
Address 225 W Santa Clara St
San Jose, CA 95113, USA

Application Received

Our admissions team will contact you within 24 hours with next steps.