https://youtube.com/@vlsipoint?si=rqm7yuaCgOKTIFw6

VLSI Shweta, IIT(ISM) dhanbad jharkhand, Dhanbad (2026)

01/06/2026

In this reel, we cover the basics of Physical Verification tools in VLSI, why tool selection matters in the semiconductor industry, and a quick comparison between Cadence and Synopsys tools, which will help you for preparing

This video explores the essential aspects of physical verification in chip design, providing a detailed guide for VLSI interviews. We compare key Cadence and Synopsys tools, highlighting their strengths and flow integration. Understand the critical role of verification and how these eda tools contribute to robust semiconductor development.

What you'll learn:
• What is Physical Verification in VLSI?
• Why Physical Verification is critical for chip manufacturing
• Why tool choice matters for VLSI careers
• Cadence vs Synopsys – quick comparison
• Easy cheat sheet for beginners

Perfect for VLSI students, freshers, and aspiring Physical Design Engineers looking to understand industry-standard tools.

For more such informative content, follow VLSI Point.

28/05/2026

𝐅𝐫𝐨𝐦 𝐈𝐧𝐭𝐞𝐫𝐧 𝐭𝐨 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫: 𝐁𝐞𝐬𝐭 𝐏𝐨𝐫𝐭𝐚𝐥𝐬 𝐟𝐨𝐫 𝐒𝐞𝐦𝐢𝐜𝐨𝐧𝐝𝐮𝐜𝐭𝐨𝐫 𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡!

Whether you're a fresh grad, job seeker, or experienced engineer in VLSI, SoC, Embedded Systems, or EDA — this post is your roadmap to landing your next role in the chip industry.

💼 𝐓𝐎𝐏 𝐏𝐋𝐀𝐓𝐅𝐎𝐑𝐌𝐒 𝐭𝐨 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐒𝐞𝐦𝐢𝐜𝐨𝐧𝐝𝐮𝐜𝐭𝐨𝐫 𝐉𝐨𝐛𝐬, 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩𝐬 & 𝐂𝐨𝐫𝐞 𝐇𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐑𝐨𝐥𝐞𝐬

🌐 𝐆𝐥𝐨𝐛𝐚𝐥 𝐓𝐞𝐜𝐡 𝐉𝐨𝐛 𝐏𝐨𝐫𝐭𝐚𝐥𝐬
𝑮𝒓𝒆𝒂𝒕 𝒇𝒐𝒓 𝒆𝒏𝒕𝒓𝒚 𝒕𝒐 𝒔𝒆𝒏𝒊𝒐𝒓-𝒍𝒆𝒗𝒆𝒍 𝒑𝒓𝒐𝒇𝒆𝒔𝒔𝒊𝒐𝒏𝒂𝒍𝒔:

𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐉𝐨𝐛𝐬– Networking + direct applications
𝐈𝐧𝐝𝐞𝐞𝐝 – Filter keywords like “Semiconductor”, “VLSI”, “ASIC”
𝐆𝐥𝐚𝐬𝐬𝐝𝐨𝐨𝐫 – Jobs + salary reviews + company culture
𝐌𝐨𝐧𝐬𝐭𝐞𝐫 – Core electronics, embedded, and chip roles

🔬 𝐍𝐢𝐜𝐡𝐞 𝐒𝐞𝐦𝐢𝐜𝐨𝐧𝐝𝐮𝐜𝐭𝐨𝐫 𝐉𝐨𝐛 𝐁𝐨𝐚𝐫𝐝𝐬
𝑭𝒐𝒓 𝒕𝒉𝒐𝒔𝒆 𝒘𝒉𝒐 𝒍𝒊𝒗𝒆 & 𝒃𝒓𝒆𝒂𝒕𝒉𝒆 𝒄𝒉𝒊𝒑𝒔:

𝐒𝐞𝐦𝐢𝐜𝐨𝐧𝐝𝐮𝐜𝐭𝐨𝐫𝐉𝐨𝐛𝐬.𝐜𝐨𝐦 – Focused entirely on semi careers
𝐂𝐡𝐢𝐩𝐌𝐨𝐧𝐤 𝐉𝐨𝐛𝐬 – VLSI/ASIC roles curated
𝐕𝐒𝐃 𝐂𝐚𝐫𝐞𝐞𝐫𝐬 – A rising gem for Indian talent
𝐈𝐄𝐄𝐄 𝐉𝐨𝐛 𝐒𝐢𝐭𝐞 – Great for researchers, postdocs, & PhDs

𝐀𝐩𝐩𝐥𝐲 𝐃𝐢𝐫𝐞𝐜𝐭𝐥𝐲 𝐚𝐭 𝐓𝐨𝐩 𝐂𝐨𝐦𝐩𝐚𝐧𝐲 𝐂𝐚𝐫𝐞𝐞𝐫 𝐏𝐚𝐠𝐞𝐬
𝑺𝒐𝒎𝒆 𝒐𝒇 𝒕𝒉𝒆 𝒃𝒆𝒔𝒕 𝒓𝒐𝒍𝒆𝒔 𝒏𝒆𝒗𝒆𝒓 𝒉𝒊𝒕 𝒑𝒖𝒃𝒍𝒊𝒄 𝒋𝒐𝒃 𝒃𝒐𝒂𝒓𝒅𝒔:

🔹 𝐈𝐧𝐭𝐞𝐥 𝐂𝐚𝐫𝐞𝐞𝐫𝐬
🔹 𝐍𝐕𝐈𝐃𝐈𝐀 𝐂𝐚𝐫𝐞𝐞𝐫𝐬
🔹 𝐓𝐒𝐌𝐂 𝐂𝐚𝐫𝐞𝐞𝐫𝐬
🔹 𝐐𝐮𝐚𝐥𝐜𝐨𝐦𝐦 𝐂𝐚𝐫𝐞𝐞𝐫𝐬

🎓 𝐅𝐨𝐫 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩𝐬 & 𝐒𝐭𝐚𝐫𝐭𝐮𝐩𝐬

𝐖𝐞𝐥𝐥𝐟𝐨𝐮𝐧𝐝 (𝐀𝐧𝐠𝐞𝐥𝐋𝐢𝐬𝐭) – Silicon & chip startups actively hiring
𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐚𝐥𝐚 – Best for students & freshers (India)
𝐋𝐞𝐭𝐬𝐈𝐧𝐭𝐞𝐫𝐧 – Another fresher-friendly site
𝐇𝐚𝐜𝐤𝐞𝐫𝐑𝐚𝐧𝐤 𝐂𝐚𝐫𝐞𝐞𝐫𝐬 – Rare but strong listings

𝐒𝐞𝐚𝐫𝐜𝐡 𝐒𝐦𝐚𝐫𝐭
𝑼𝒔𝒆 𝒌𝒆𝒚𝒘𝒐𝒓𝒅𝒔 𝒍𝒊𝒌𝒆:
🔹 “Physical Design”
🔹 “RTL Verification”
🔹 “STA”
🔹 “Analog Layout”
🔹 “Timing Closure”

Credit: Samagata Semiconductors

25/05/2026

AI in VLSI | Will AI take Over VLSI Jobs? Simplilearn AI Courses

Let’s be honest — learning AI can feel overwhelming when most courses are either too simple or way too advanced. That’s why Simplilearn AI Courses stand out.

They’re practical, easy to follow, and focused on helping you build real-world skills.

If you’re serious about learning AI the right way, this is worth checking out. Tap the link below and tell me in the comments where you’re starting from.

Check out Simplilearn AI courses through the link below.

🔥Top AI Courses - https://www.simplilearn.com/courses/ai

🔥Top Generative AI Courses - https://www.simplilearn.com/courses/generative-ai

🔥Top Machine Learning Courses - https://www.simplilearn.com/courses/machine-learning

Courses

25/05/2026

AI in VLSI | Will AI take Over VLSI Jobs? Simplilearn AI Courses

Let’s be honest — learning AI can feel overwhelming when most courses are either too simple or way too advanced.

That’s why Simplilearn AI Courses stand out. They’re practical, easy to follow, and focused on helping you build real-world skills.

If you’re serious about learning AI the right way, this is worth checking out. Tap the link below and tell me in the comments where you’re starting from.

Check out Simplilearn AI courses through the link below.

🔥Top AI Courses - https://www.simplilearn.com/courses/ai

🔥Top Generative AI Courses - https://www.simplilearn.com/courses/generative-ai

🔥Top Machine Learning Courses - https://www.simplilearn.com/courses/machine-learning

Courses

25/05/2026

If you miss these sanity checks, your chip might fail at tapeout.

Sanity Checks at Every Stage in VLSI Physical Design Flow | Must-Know for PD & STA Engineers.

In the VLSI Physical Design (PD) flow, missing even a small sanity check can lead to timing failures, DRC issues, or even chip failure at tapeout.
That’s why experienced engineers always follow stage-wise sanity checks — from netlist to GDSII.
📊 This poster covers complete sanity checks across all PD stages used in real ASIC projects.
📌 Key Sanity Checks Covered
🔹 1. Netlist Checks (Pre-Floorplan)
✔️ Missing/undefined clocks
✔️ No combinational loops
✔️ No floating pins or multi-driven nets
🔹 2. Floorplan Checks
✔️ Core utilization (65–75%)
✔️ Macro placement & spacing
✔️ Proper halo & blockages
🔹 3. Power Planning Checks
✔️ PG connectivity (rings & stripes)
✔️ No shorts/disconnects
✔️ IR drop estimation
🔹 4. Placement Checks
✔️ No overlaps
✔️ Congestion analysis
✔️ Setup/hold QoR
🔹 5. Clock Tree Synthesis (CTS)
✔️ Balanced clock tree
✔️ Skew & latency within limits
✔️ No floating clocks
🔹 6. Routing Checks
✔️ DRC clean (spacing/width)
✔️ Antenna violations
✔️ Shorts & opens
✔️ Congestion map
🔹 7. Post-Route Optimization
✔️ Timing closure (setup/hold)
✔️ Crosstalk & noise
✔️ Max transition & capacitance
✔️ ECO validation
🔹 8. Physical Verification
✔️ DRC / LVS clean
✔️ ERC checks
✔️ Antenna clean
🔹 9. Signoff Checks
✔️ MCMM timing validation
✔️ No false/unconstrained paths
✔️ Power & IR drop validation
🔹 10. GDSII Final Checks
✔️ No missing layers
✔️ Metal density rules
✔️ Correct hierarchy
🎯 Why These Sanity Checks Matter
✔️ Prevent costly design iterations
✔️ Ensure timing closure
✔️ Avoid tapeout failures
✔️ Improve overall design QoR
💡 Key Insight

Most interview questions in Physical Design & STA roles are based on:
👉 “What checks do you perform at each stage?”
Mastering these gives you a strong edge in interviews and real projects.

🔥 Follow for More VLSI Content

Credit: Venkata Thirish

21/05/2026

Complete Roadmap from 1st Year to Final Year Exists… Yet 90% Students Still Think “Late Ho Gaya… Ab Kuch Nahi Ho Sakta” (Must Read Reality)

Let me say this honestly.
Every day I get DMs like:
👉 “Roadmap kya follow karu?”
👉 “Where should I start?”
👉 “Sem-wise guide de do”
And I try to reply.
But here’s the problem…

One person says:
👉 Start with Digital
Another says:
👉 Learn Verilog first

Someone else says:
👉 Do projects
Another says:
👉 Focus on GATE

Different people, Different answers
Result?
👉 Confusion increases, clarity doesn’t

And that’s when I realized:
📌 Problem guidance ka nahi hai
📌 Problem scattered guidance ka hai

No one is wrong.
But no one is complete either.
And 4 years of engineering…
can’t be explained in one DM.

You saw this roadmap.

And your brain immediately said:
👉 “Maine ye sab nahi kiya…”
👉 “Ab late ho gaya…”

Relax.
👉 Engineering checklist nahi hai
👉 Life semester-wise perfect plan nahi hoti

📌 Reality based on your year:
👉 1st Year
This is your biggest advantage phase.
If you follow even 60–70% properly…
👉 You’ll be ahead of most students

👉 2nd / 3rd Year
Not late. But not easy anymore.
Now no shortcuts.
👉 Only smart decisions + consistency

👉 4th Year
Don’t panic.
👉 Focus on basics + one direction + GATE/Masters

📌 One truth about VLSI most won’t tell you:
Everyone wants:
👉 “BTech me hi core job”
Possible? YES
Common? NO
👉 Majority of core VLSI roles go to MTech/MS students

Why?
Because VLSI is not just tools or coding.
It’s deep concepts, timing, circuits, physics.

That depth takes time.
📌 So ask yourself honestly:
👉 Do you want fast… or strong?

Because:
Fast path → Quick entry, weak base
Strong path → Slow entry, powerful growth
And in long term…
👉 Depth always wins

📌 Final Reality (Read this slowly)
There is nothing like “too late”.
If you decide today:

👉 “I want to do this”
You can still reach there.
Yes… your path will be different
Yes… it may take more time

But:
👉 Harder ≠ Impossible
Life will always give opportunities.
But only those are ready who prepare.

Credit: Suyash

18/05/2026

A Strong Step Towards India’s Semiconductor Growth

India’s first advanced 3D glass chip packaging unit is coming up in Bhubaneswar with an investment of ₹1,943 crore under the India Semiconductor Mission.

Led by 3D Glass Solutions, this facility will focus on next-gen technologies like 3D heterogeneous integration and glass-based chip packaging—key to powering AI, high-performance computing, and future electronics.

With support from global players like Intel Corporation, the project is expected to boost India’s chip packaging capacity, create 2,500+ jobs, and position Odisha as a growing hub for advanced electronics.

A clear sign that India is moving beyond chip usage to building core semiconductor capabilities.

Credit: Prashanthi

17/05/2026

Protocols are not just theory in VLSI 👀
They are the language through which chips communicate.

If you want to build a strong career in Verification, Design, or SoC development, understanding protocols is a must

In this reel, we covered:
✨ Why protocols matter in VLSI
✨ Important concepts to learn
✨ Role of protocols in chip communication
✨ Verification engineer responsibilities
✨ Best resources to learn
✨ Project ideas for internships & placements

Start learning protocols early, it can seriously boost your VLSI career growth

15/05/2026

Everyone says, “I’m learning AI.”
But recruiters ask one thing:

“Can you prove it?”

Watching tutorials is easy.
Showing proof of your skills is where most people struggle.

Certificates alone won’t get you hired,
But they do show consistency, discipline, and willingness to learn.

1. Google – Introduction to Generative AI
Learn GenAI basics, prompting, use cases, and Google tools.
🔗 https://lnkd.in/gmBPBNHx

2. Google – Introduction to Large Language Models
Understand LLM concepts, prompt tuning, limitations, and applications.
🔗 https://lnkd.in/g48RfJ_i

3. Google – Introduction to Responsible AI
Covers AI ethics, governance, fairness, and risk management.
🔗 https://lnkd.in/ggNwSs76

4. Google – Beginner: Introduction to Generative AI
A beginner-friendly learning path covering GenAI foundations and workflows.
🔗 https://lnkd.in/ggpT2HWw

5. IBM – Artificial Intelligence Fundamentals
Strong foundation in AI concepts, ethics, and business relevance.
🔗 https://lnkd.in/gmT-wP6r

6. IBM – Prompt Engineering: Shaping Better AI Responses
Learn prompt frameworks, refinement methods, and practical techniques.
🔗 https://lnkd.in/g-DCrBVt

7. IBM – Generative AI in Action
Focuses on workflows, tools, prompt engineering, and applied AI use cases.
🔗 https://lnkd.in/g8RDxGfU

8. Microsoft – Applied Skills: Build a Generative AI Chat App
Build, evaluate, and deploy real AI chat applications.
🔗 https://lnkd.in/guA8hVbY

9. Microsoft – Applied Skills: Create Agents in Microsoft Copilot Studio
Create custom agents, actions, automations, and workflows.
🔗 https://lnkd.in/gNc-bfK9

10. Oracle – OCI AI Foundations Associate
Covers AI, ML, deep learning, and Oracle Cloud AI basics.
🔗 https://lnkd.in/gMEQPHHs

Smart move that you can apply
Pick 1 course
Finish it
Build 1 project from it.

That’s how you stand out

Which certification are you starting with first? comment below

Save this for later
Like this if it saved you time
Follow for more AI career resources

14/05/2026

𝐌𝐨𝐨𝐫𝐞 𝐋𝐚𝐰 𝐢𝐬 𝐃𝐞𝐚𝐝 𝐨𝐫 𝐑𝐞𝐰𝐫𝐢𝐭𝐭𝐞𝐧 𝐛𝐲 𝐀𝐈

If you are an electronics or Computer science Student this law you study for your semester exam.

Very easy and Simple law for memorizing but this law is the backbone of the modern semiconductor chip design.

Equally challenging Applied Physics at the Atomic level.

𝐌𝐨𝐨𝐫𝐞 𝐋𝐚𝐰→
In 1965, Gordon Moore predicted -

The number of transistors on a microchip doubles approximately every 2 years, while the cost per transistor decreases.

Now the question
Is Moore Law Dead ?
→ Not completely but its slowing definitely

Earlier: More transistors = more power
Now: Better architecture + AI = more power

For decades,
This prediction powered innovation in:
→CPU
→GPU
→Cloud computing
→Artificial Intelligence

Main problem for Chip manufacturer

As transistor size approaches atomic scale,

Physical limitations appear:
1. Quantum effects
Electrons start behaving unpredictably at very small sizes in atoms level.

2. Heat problems
Smaller transistors generate high heat density because of complex architecture.

3. Manufacturing complexity
Advanced nodes like 3nm and 2nm require extremely complex fabrication.

4. Rising cost
Chip manufacturing plants now cost $20 billion.

In the semiconductor industry of 2026, the debate over Moore Law isn't just a technical disagreement— it’s a philosophical and geopolitical divide between two giants → Intel and NVIDIA

Now the problem or you are also called as a solution

AI is Rewriting Moore's Law

AI is transforming chip design and performance improvement.

Companies use AI-driven optimization.
→ Floor-planning Optimization
→ Layout improvement
→ Power efficiency optimization
→ Faster design cycles

Final Result: Innovation continues even when scaling slows.

Moore’s Law is not dead,It is evolving.

What are your thoughts ?

Credit: Debraj

VLSI Shweta

01/06/2026

28/05/2026

25/05/2026

25/05/2026

25/05/2026

21/05/2026

18/05/2026

17/05/2026

15/05/2026

14/05/2026

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