Speech to Photonics

Speech to photonics. Let's try complex designs using AI, expediting test, design, constraint check loops

[Speech to Photonics @SpeedPhotonicIC]

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[Speech to Photonics @SpeedPhotonicIC]

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[Speech to Photonics @SpeedPhotonicIC]

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the 8th post is here in silicon photonics

[Speech to Photonics @SpeedPhotonicIC]

@LIWEI_TWCapital can tools like https://t.co/eCBvP1xcuE help here?

[Speech to Photonics @SpeedPhotonicIC]

@yianisz first let's educate the entire software industry to move towards hardware design
https://t.co/eCBvP1xcuE

[Speech to Photonics @SpeedPhotonicIC]

@Applied4Tech https://t.co/eCBvP1xcuE

[Speech to Photonics @SpeedPhotonicIC]

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#photonics #pic #fpga

[Speech to Photonics @SpeedPhotonicIC]

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2 out of the series of 40

[Speech to Photonics @SpeedPhotonicIC]

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Featured

[Speech to Photonics @SpeedPhotonicIC]

r software skills to the hardware revolution.
#SoftwareEngineering #HardwareEngineering #SiliconPhotonics #GDSFactory #CareerPivot #AI #Semiconductors #FutureOfTech

[Speech to Photonics @SpeedPhotonicIC]

Feeling stuck in a software engineering rut? Wondering how much impact another SaaS app will really have? 🚀
The truth is, the software world is currently colliding with hard physical limits, and the most exciting problems to solve today are actually in hardware.

[Speech to Photonics @SpeedPhotonicIC]

build physical chips. Tools like GDSFactory—an open-source Python library—allow you to define parametric components, verify layouts, and run simulations completely in Python. You can literally write scripts that output GDSII or OASIS files for actual chip fabrication.

[Speech to Photonics @SpeedPhotonicIC]

waveguides and light, move on to simulating components using tools like Ansys Lumerical, and master programmatic Python-based chip layouts.
The line between software and hardware is blurring. If you're looking to build the physical backbone of the AI era, it's time to bring you

[Speech to Photonics @SpeedPhotonicIC]

💡 Learn the Physics of the Future The industry is transitioning from electrons to photons. Silicon photonics is replacing copper interconnects to move data at the speed of light with a fraction of the power. You can follow a structured learning path: start by understanding basic

[Speech to Photonics @SpeedPhotonicIC]

As the industry designs hybrid memory systems and new heterogeneous accelerators to fix AI bottlenecks, your deep understanding of software optimization, data flow, and memory allocation is an invaluable asset.

[Speech to Photonics @SpeedPhotonicIC]

💡 Apply Your ML and Systems Architecture Skills The deep learning revolution shifted GPU programming from writing complex individual kernels to an "array programming" model using frameworks like PyTorch and NumPy.

[Speech to Photonics @SpeedPhotonicIC]

Hardware desperately needs them.
Here is how a modern software engineer can make the leap:
💡 Embrace "Design-as-Code" Hardware design is increasingly looking like software development. With the rise of Electronic-Photonic Design Automation (EPDA), engineers are using code to

[Speech to Photonics @SpeedPhotonicIC]

If you are a software engineer in crisis, looking for a meaningful pivot, Hardware Engineering—specifically in next-generation fields like Silicon Photonics—might be your next frontier. And the best part? You don't need to abandon your coding skills.

[Speech to Photonics @SpeedPhotonicIC]

"Memory Wall"—where massive GPUs sit idle just waiting for data transfers—and the "Copper Wall," where traditional electrical wiring simply can't transmit data fast enough before the signal degrades.