Vijay Kumar Bagavath Singh

𝐈𝐧𝐝𝐢𝐚’𝐬 𝐒𝐞𝐦𝐢𝐜𝐨𝐧𝐝𝐮𝐜𝐭𝐨𝐫 𝐇𝐢𝐫𝐢𝐧𝐠 𝐒𝐮𝐫𝐠𝐞 𝐢𝐬 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐢𝐧𝐠 𝐂𝐚𝐫𝐞𝐞𝐫𝐬! The semiconductor industry in India is experiencing an unprecedented hiring boom — gradually chipping away at IT placements and opening exciting opportunities for engineers across domains. 🔹 End-to-end hiring: RTL/SoC design, verification, embedded systems, manufacturing (process, packaging, yield). 🔹 Freshers’ salaries: ₹6–12 LPA (vs. ₹3–4 LPA in IT). 🔹 Aggressive campus recruitment from tier-2 & tier-3 colleges, not just IITs. 🔹 Internships: ₹40k–50k/month stipends to build hands-on chip design skills. 🔹 Hiring scale: ~12,000 freshers annually (up from 8,000 last year). 🔹 Career growth: Roles extend up to ₹20–120 LPA for architects & leaders. Fuelled by global supply chain shifts, EVs, telecom, defence, and government initiatives (DLI, PLI, ECMS), this hiring surge is reshaping student aspirations, especially in ECE and core engineering branches. With India projected to hit $103B semiconductor market by 2030, this is the right time for students and professionals to align their skills with VLSI, Embedded Systems, AI/ML hardware, and semiconductor manufacturing. The future is semiconductor — and India is powering ahead as a global hub! https://lnkd.in/gKtU5Gn2 #Semiconductor #VLSI #ChipDesign #EmbeddedSystems #Electronics #SoC #SemiconductorIndia #SemiconductorJobs #SemiconductorTalent #HiringTrends #Careers #ECE #Engineering #SemiconductorEcosystem #MakeInIndia #Innovation #ElectronicsManufacturing #FutureOfWork #AI #ML #Hardware #Manufacturing #IndiaSemiconductorMission

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7 key branches of semiconductors with leading companies & Applications 1. VLSI (Very Large Scale Integration): Leading Companies: Intel, Samsung, TSMC Applications: Microprocessors, Memory chips , ASICs 2. Power Semiconductors: Leading Companies: Infineon, STMicroelectronics Texas Instruments Applications: Electric vehicles (inverters, converters), Renewable energy 3. Analog Semiconductors: Leading Companies: Analog Devices, Texas Instruments, Maxim Integrated Applications: Audio & Video processing, Communication systems and RF circuits 4. Digital Semiconductors: Leading Companies: Intel, Qualcomm, Broadcom Applications:Microprocessors and microcontrollers, Memory chips (Flash memory, SSDs) 5. MEMS (Micro-Electro-Mechanical Systems): Leading Companies:Bosch Sensortec, STM, Analog Devices Applications:Accelerometers and gyroscopes in smartphones, Pressure sensors for automotive applications, Inkjet printer heads and microphones 6. Optoelectronics: Leading Companies:Cree, Nichia, Osram Applications:LEDs for displays, Optical communication, Photodetectors 7. Compound Semiconductors: Leading Companies:Cree, Qorvo, GaN Systems Applications:High-frequency RF (Radio Frequency) devices, Power amplifiers for wireless communication For all Semiconductors and AI related content, follow TechoVedas Add more branches in the comments. If you are looking to invest in semiconductors and looking for consulting, drop us a DM. #VLSI #AI #semiconductorindustry

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Memory paging in OS: Memory paging is a memory management scheme that eliminates the need for contiguous allocation of physical memory, thereby making more efficient use of available memory and simplifying memory allocation. 👉 Basic Idea 1️⃣ Paging: Divides the virtual memory into fixed-size blocks called pages and the physical memory into blocks of the same size called frames. 2️⃣ Virtual Memory: An abstraction that provides each process with the illusion of a large, contiguous address space. 3️⃣ Physical Memory: The actual RAM available in the system. 👉Key Components 1️⃣ Pages: Fixed-size blocks of virtual memory. Common sizes are 4 KB, 2 MB, or 1 GB. 2️⃣ Frames: Fixed-size blocks of physical memory that correspond in size to pages. 3️⃣ Page Table: A data structure used by the operating system to keep track of the mapping between virtual pages and physical frames. 👉 How Paging Works 1️⃣ Address Translation: When a program accesses a memory address, the virtual address is translated into a physical address using the page table. The virtual address consists of: Page Number: Indexes into the page table. Offset: Specifies the exact location within the page. 2️⃣ Page Table Lookup: The page table entry (PTE) for the page number provides the frame number. The frame number is combined with the offset to produce the physical address. 3️⃣ Page Faults: A page fault occurs if the required page is not in physical memory (not mapped to any frame). The operating system must bring the page from disk (swap space) into a free frame in physical memory and update the page table. 💪 Benefits of Paging 1️⃣ Eliminates Contiguous Allocation Requirement: Physical memory can be used more efficiently since any free frame can be used for any page. 2️⃣ Isolation and Protection: Each process operates in its own virtual address space, preventing one process from accessing the memory of another process. 3️⃣ Simplifies Memory Management: The operating system can manage memory in fixed-size blocks, simplifying allocation and deallocation. ✅ Summary Memory paging is a powerful technique that provides the benefits of virtual memory without the drawbacks of contiguous physical memory allocation. It allows systems to efficiently manage memory, ensure process isolation, and simplify memory allocation and deallocation through the use of fixed-size pages and frames. #paging #os #kernel #linux #embedded #learning #systemdesign

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EDA Tools - Every VLSI Engineer must practice Behind every successful chip design, there’s a strong backbone of EDA (Electronic Design Automation) tools. From RTL coding to simulation, synthesis, verification, layout, FPGA design, and fabrication support - EDA tools play a vital role in shaping the future of semiconductors. Here’s a quick look at some of the most powerful tools in VLSI: ✅ Tanner EDA – Affordable CMOS analog/digital design ✅ Icarus Verilog – Free, open-source Verilog simulator ✅ Xilinx Vivado – High-performance FPGA design ✅ Questa Sim – Industry-standard simulation & verification ✅ Alliance – Open-source CAD for digital circuits ✅ Silvaco TCAD – Advanced device simulation & fabrication support ✅ Innovus – High-performance physical implementation tool ✅ Glade – Open-source layout editor for analog/mixed-signal ✅ Quartus Prime – Intel’s FPGA design suite ✅ Design Compiler – Synopsys tool for synthesis ✅ Magic – Open-source layout with DRC & extraction ✅ Xcelium – Fast, advanced simulation for RTL & testbench 💡 Whether you are a student, fresher, or experienced VLSI professional, mastering these tools can open the door to limitless opportunities in the semiconductor industry. 🌍 Visit us: https://provlogic.com/ VLSI Career Demo sessions - https://lnkd.in/g_jj43_V Our website - https://provlogic.com/ Join our WhatsApp channel for daily VLSI Updates - https://lnkd.in/gxBHqS7z Follow us on Instagram for Daily VLSI series - https://lnkd.in/gfziv4dg 👉👉 Please do follow ProV Logic & Prasanthi Chanda for daily Interview series

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How to start focussing and preparing for Semiconductor and AI from 3rd year of Engineering in ECE / EEE / CSE: [1] Mathematics: Not only essential for ML and VLSI but helps in Quantum Computing as well. Key concepts: a. Probability and Statistics - Bayes theorem, variance, standard deviation, Distributions, Regression, Bias, etc. b. Linear Algebra - Eigen values, Eigen vectors, Matrix operations. c. Complex Number - Complex Plane, Polar and exponential form, Fourier transform, Euler and De Moivre's theorem, Conjugate. [2] Digital Electronics: The most basic and fundamental subject for VLSI. Key Concepts: Boolean Algebra, Combinational and Sequential Circuit, FSM, Static Timing Analysis. Not covering in depth since already covered in earlier posts. [3] Analog Fundamentals: Key concepts: a.BJT, MOSFET, CMOS, Problems on CC, CE, CB, CS, CG and CD. b. Current Mirror, Amplifier, Oscillator, Implementing stick diagrams of basic gates and custom circuits, Drain calculation, triode and saturation region. [4] Algorithms: This subject is not essential and mandatory but when I look back i personally feel that this subject is a necessity to increase the intuitive thinking and problem solving approach. Key concepts: a. Divide and Conquer, Greedy, Dynamic Programming, Sorting and Searching, travelling Salesman, Dijkstra's, kruskal, etc. b. Complexity theory - P, NP, NP Hard and NP Complete. [5] HDL Coding: Verilog - Coding guidelines, Syntax and Semantics, Coding structure. The best way to learn is to start implementing the digital blocks like multiplexer, flip flops, basic gates, counters. If you don't have any tool use edaplayground. [6] Python: Libraries: Pytorch, pyuvm, NumPy, SciPy, scikit-learn. [7] Machine Learning: Key concepts: a. Supervised, Unsupervised, Reinforcement, Neural Networks, Gradient Descent, Deep learning, Back propagation. b. Frameworks like TPU and PyTorch. [8] SystemVerilog: a. Data types, Interface, Clocking Blocks, Modport, Virtual interface, Synthesizable and Non Synthesizable construct, Testbench infrastructure. [9] Protocols: AHB, APB, FIFO to start with. Interconnect the two domains of VLSI and AI by leveraging ML for Automation in Semiconductor and debug the Chip faster. #vlsi #asic #electricalengineering #electronics

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