We are seeking highly motivated and talented VLSI Engineers with 2-4 years of industry experience to join our intensive Campus Training Program. This program is designed to provide in-depth, hands-on training in various aspects of VLSI design, verification, and implementation, specifically tailored to align with our current projects and future technological advancements. Upon successful completion of the training, candidates will transition into key roles within our VLSI design teams. This is an excellent opportunity for engineers looking to deepen their expertise, specialize in cutting-edge VLSI methodologies, and contribute to the development of next-generation semiconductor products. Responsibilities during the Training Program: * Actively participate in structured training modules covering advanced VLSI concepts, methodologies, and tools. * Engage in hands-on lab sessions and practical exercises to apply learned concepts. * Collaborate with trainers and mentors on assigned projects and case studies. * Complete individual and group assignments, demonstrating understanding and proficiency in VLSI sub-domains. * Participate in technical discussions, design reviews, and knowledge-sharing sessions. * Learn and adhere to industry best practices, design flows, and quality standards. * Continuously seek to improve technical skills and knowledge through self-study and provided resources. * Document progress, learning outcomes, and project work thoroughly. Key Areas of Training (may include, but are not limited to): * Digital IC Design: Advanced RTL design, low-power design techniques, clock domain crossing (CDC). * Verification: Advanced UVM/SystemVerilog methodologies, functional coverage, formal verification. * Physical Design: Floorplanning, placement, routing, clock tree synthesis (CTS), static timing analysis (STA), power integrity (PI) analysis. * Design for Testability (DFT): Scan insertion, ATPG, boundary scan. * Analog/Mixed-Signal Design (if applicable): Device physics, circuit simulation, layout considerations. * Front-End Tools: Synthesis, Linting, STA. * Back-End Tools: Place and Route, DRC/LVS. * Scripting: Perl, Python, TCL for automation. * EDA Tools: Exposure to industry-standard EDA tools from Cadence, Synopsys, Mentor Graphics (specific tools will be taught based on company needs). Required Qualifications: * Bachelor's or Master's degree in Electronics and Communication Engineering (ECE), Electrical Engineering (EE), or a related field. * 2-4 years of professional experience in VLSI design, verification, or physical design. * Strong fundamental understanding of digital electronics, circuit theory, and semiconductor physics. * Proficiency in at least one hardware description language (HDL) such as Verilog or VHDL. * Familiarity with the VLSI design flow (front-end to back-end). * Experience with scripting languages (e.g., Python, Perl, TCL) is highly desirable. * Excellent problem-solving and analytical skills. * Strong communication and interpersonal skills. * Ability to learn quickly and adapt to new technologies and methodologies. * Self-motivated with a strong desire to build a long-term career in VLSI. Preferred Qualifications (Assets): * Prior experience with specific EDA tools (Cadence Virtuoso, Synopsys DC/ICC/VCS, Mentor Graphics Calibre, etc.). * Experience with UVM methodology for verification. * Understanding of low-power design techniques. * Familiarity with formal verification concepts. * Exposure to advanced technology nodes.
We are seeking a highly skilled and experienced Data Structures Expert with a minimum of 5 years of hands-on industry experience who is passionate about teaching, guiding, and mentoring aspiring professionals. The ideal candidate should possess a deep understanding of core computer science fundamentals , particularly in data structures and algorithms , and should be capable of applying this knowledge to solve complex, real-world problems efficiently. The role involves mentoring students and young professionals , helping them strengthen their problem-solving abilities, and preparing them for technical interviews and competitive programming challenges. The candidate will be expected to design and deliver engaging sessions , create practical exercises, and provide personalized guidance to help learners bridge the gap between academic learning and industry expectations. A strong background in one or more programming languages such as C++, Java, or Python is essential, along with familiarity in algorithm optimization, time complexity analysis, and hands-on project experience. Prior experience in training, mentoring, or curriculum development will be an added advantage. We are looking for someone who not only excels technically but also enjoys sharing knowledge and inspiring others , contributing to building the next generation of tech innovators and problem-solvers.
We are seeking a highly skilled and experienced Data Structures Expert with a minimum of 5 years of hands-on industry experience who is passionate about teaching, guiding, and mentoring aspiring professionals. The ideal candidate should possess a deep understanding of core computer science fundamentals , particularly in data structures and algorithms , and should be capable of applying this knowledge to solve complex, real-world problems efficiently. The role involves mentoring students and young professionals , helping them strengthen their problem-solving abilities, and preparing them for technical interviews and competitive programming challenges. The candidate will be expected to design and deliver engaging sessions , create practical exercises, and provide personalized guidance to help learners bridge the gap between academic learning and industry expectations. A strong background in one or more programming languages such as C++, Java, or Python is essential, along with familiarity in algorithm optimization, time complexity analysis, and hands-on project experience. Prior experience in training, mentoring, or curriculum development will be an added advantage. We are looking for someone who not only excels technically but also enjoys sharing knowledge and inspiring others , contributing to building the next generation of tech innovators and problem-solvers.