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[@vikramskr](/creator/twitter/vikramskr)
"I've got most of the deep-dive post (3000+ words) written up. Need to draw some pictures and fix some loose sentences. Here is what the ToC is looking like:"  
[X Link](https://x.com/vikramskr/status/1979418948517941636) [@vikramskr](/creator/x/vikramskr) 2025-10-18T05:27Z 4830 followers, 1545 engagements


"Saw a recent job posting for a SiGe HBT modeling engineer from a major semi foundry - its a fresh graduate job. Expected Salary Range $65400.00 - $145800.00 The lower end surprised me. Thats really low for someone who has enough background and education in EE to do this job"  
[X Link](https://x.com/vikramskr/status/1975970561571618999) [@vikramskr](/creator/x/vikramskr) 2025-10-08T17:04Z 4815 followers, 1831 engagements


"I never liked those ugly lidar domes on Waymos. They're still useful to explain how Lidar works in simple terms"  
[X Link](https://x.com/vikramskr/status/1976626563249742052) [@vikramskr](/creator/x/vikramskr) 2025-10-10T12:31Z 4823 followers, XXX engagements


"Every week I write a detailed explainer on semiconductor technology photonics RF/Analog power electronics and a whole lot more. You can sign up for the newsletter here:"  
[X Link](https://x.com/vikramskr/status/1976627591739298049) [@vikramskr](/creator/x/vikramskr) 2025-10-10T12:35Z 4823 followers, XXX engagements


"AI is a hammer looking for a nail. At least in the world of chip design . Instead of buying into the hype how do you build a lasting skillset that serves you well into the AI age. Copy-paste prompt engineering teaches you nothing. Your coworker will do the same. So what sets you apart The key is to build foundational knowledge in AI software and hardware. As an early adopter (yes its still early) you have an unfair advantage when you infuse machine learning skills into your domain expertise. I have four suggestions in this post: Learn how transformers work Understand the hardware behind AI"  
[X Link](https://x.com/vikramskr/status/1978645430486667283) [@vikramskr](/creator/x/vikramskr) 2025-10-16T02:13Z 4829 followers, 1826 engagements


"Everyone obsesses over GPUs in AI datacenters. Nobody talks about storage. Storage needs are different depending on training and inference workloads. There is a storage hierarchy that plays a critical role in keeping GPUs fed. New post this week explains it all: Use of storage in AI workloads Storage hierarchies Fundamentals of NAND flash (SLC QLC) Important of QLC in AI . and a whole lot more Link in comment. 👇🏽"  
[X Link](https://x.com/vikramskr/status/1980135759345803463) [@vikramskr](/creator/x/vikramskr) 2025-10-20T04:55Z 4830 followers, 1511 engagements