Parasitic Extraction Jobs in Noida

Job Title: Principal Engineer/Manager - CAD General Summary: As a global technology leader, Qualcomm is committed to driving innovation, enabling next-generation experiences, and shaping a smarter, more connected world. Our engineers work on cutting-edge technologies to design, optimize, and verify complex electronic systems, including digital, analog, RF, and optical circuits, FPGA, DSP, and advanced SoCs. We are seeking an experienced Principal Engineer/Manager to lead our CAD team in Noida. This role involves managing a team of 20+ CAD engineers, driving the development of state-of-the-art tools, flows, and methodologies, and ensuring Qualcomm's continued success in designing the industry s most advanced SoCs on leading-edge process nodes. Key Responsibilities: Leadership & Management: Oversee all CAD functions in Noida, covering front-end and RTL-to-GDS (RTL2GDS) tools. Lead and mentor a high-performing team of CAD engineers. Collaborate with global CAD teams to define and implement best practices. Tools, Flows & Methodologies Development: Drive the development and enhancement of EDA tools, workflows, and methodologies. Define and implement strategies to improve RTL, Design Verification (DV), synthesis, PnR, and signoff methodologies. Introduce innovative solutions to enhance design efficiency and quality. Cross-Team & Vendor Collaboration: Act as the primary interface between Qualcomm execution teams in Noida and global stakeholders. Build and manage relationships with EDA vendors, ensuring alignment with Qualcomm s roadmap. Stay ahead of emerging industry trends and technologies to maintain a competitive edge. Required Qualifications: Experience: 15+ years of experience in CAD tool/flow/methodology development in RTL, DV, synthesis, PnR, or signoff. A proven track record of driving innovation in EDA tools and design methodologies. Previous experience managing a medium-sized team with a focus on leadership and technical mentorship. Education: Preferred: Master s degree in VLSI or Computer Science. Minimum: Bachelor s degree in Electronics, Electrical Engineering, or Computer Science. Work on groundbreaking technologies and contribute to next-generation SoCs. Be part of a global, highly collaborative CAD team. Enjoy a competitive compensation package, career growth opportunities, and professional development programs. Qualification : Bachelors degree in Electronics, Electrical Engineering, or Computer Science

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. General Summary PNR implementation for Qualcomm SoC's Good hands-on experience on Floorplanning, PNR and STA flows Good knowledge on Placement/Clock Tree Synthesis (CTS), optimization, etc Good understanding on signoff domains LEC/CLP/PDN knowledge, etc Good knowledge on Unix/Linux Perl/TCL fundamentals/scripting Principal Duties and responsibilities: Complete ownership on PNR implementation (Floorplanning, Placement, CTS, post_route,etc) on latest nodes. Signoff knowledge is mandatory (STA,Power analysis,FV, low power verification, PV,etc) Quick learner with good analytical and problem solving skills Qualifications: 3+ years Hardware Engineering experience or related work experience. 3+ years experience with PNR flow in latest tech nodes (e.g., 4nm/5nm/7nm/10nm Qualification : Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.

General Summary As a Hardware Engineer at Qualcomm, you will be involved in planning, designing, optimizing, verifying, and testing electronic systems, such as circuits, mechanical systems, Digital/Analog/RF/optical systems, and FPGA/DSP systems. Your work will contribute to world-class, cutting-edge products in collaboration with cross-functional teams. You'll be focused on PNR implementation for Qualcomm SoCs and will work on some of the latest technology nodes, shaping the next generation of smart, connected systems. Minimum Qualifications Education: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or related field with 4+ years of Hardware Engineering or related experience, OR Master's degree in the relevant field with 3+ years of experience, OR PhD in Computer Science, Electrical/Electronics Engineering, or related field with 2+ years of Hardware Engineering or related experience. Experience: 8+ years of hardware engineering experience or related work experience. Extensive experience in PNR flows for the latest technology nodes (e.g., 4nm/5nm/7nm/10nm). Hands-on experience in Floorplanning, Placement, CTS, Post-route, and other related tasks on advanced nodes. Sign-off knowledge is mandatory (STA, Power analysis, FV, low power verification, PV, etc.). Expertise in Unix/Linux, with proficiency in scripting languages such as Perl/TCL. Skills: Strong knowledge of Placement, Clock Tree Synthesis (CTS), and optimization techniques. Understanding of signoff domains such as LEC, CLP, PDN. Ability to learn quickly, with strong analytical and problem-solving skills. Qualification : Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.

Job Title: Computer Vision Researcher Location: Noida Headquarters Overview: We are looking for a talented and driven Computer Vision Researcher to join our Advanced Robotics team. As a key member, you will contribute to the design, optimization, and integration of cutting-edge computer vision technologies that power our innovative robotic systems. Your expertise will drive the development of humanoid robots capable of navigating and interacting with complex, dynamic environments. This role will involve working on various advanced robotics products, including the Collaborative Robot, Quadruped (Trakr), Remote Ultrasound Solution, and Bi-Ped Robot. Key Responsibilities: Conduct Advanced Research: Lead research in computer vision areas such as image segmentation, object detection, motion tracking, sensor fusion, and more to create efficient algorithms enabling robots to perceive, navigate, and interact in real time with their environments. Deep Learning Model Development: Design, train, and fine-tune deep learning models (e.g., CNNs, RNNs, GANs) for various computer vision tasks. Work with large datasets to optimize performance and accuracy. Data Pipeline Management: Develop and implement efficient data processing pipelines for large-scale datasets. Utilize data augmentation techniques to enhance model robustness. Prototype Development: Build prototypes and proof-of-concept systems to demonstrate the integration of computer vision algorithms into practical robotic applications. Real-time Optimization: Evaluate and optimize the performance of computer vision models, particularly for real-time applications, ensuring both high accuracy and computational efficiency, especially for embedded or mobile devices. Third-Party Integration: Facilitate the integration of third-party computer vision libraries and frameworks into the robotic control stack, ensuring seamless compatibility with existing systems. Collaboration Across Teams: Work closely with product teams, hardware engineers, and software developers to integrate computer vision technologies into robotics hardware for enhanced robot movement and features. Mentorship and Guidance: Mentor junior researchers and engineers in computer vision techniques. Provide guidance on experimental design, data analysis, and algorithm development. Qualifications & Skills: Education: Ph.D. or Master s degree in Computer Science, Computer Vision, AI, Robotics, or a related field. Experience: 5-8 years of experience in computer vision research and development, including working with deep learning frameworks and large-scale datasets. Expertise in Computer Vision: Strong knowledge of image processing, feature extraction, object detection, segmentation, tracking, and other related areas. Deep Learning Frameworks: Proficiency with frameworks like TensorFlow, PyTorch, Keras, or Caffe. SLAM and VIO Knowledge: Experience with Visual SLAM, LiDAR SLAM, and Visual Inertial Odometry (VIO) is a plus. Advanced Networks: Hands-on experience with CNNs, RNNs, GANs, and other advanced deep learning architectures. Traditional Computer Vision: Familiarity with traditional computer vision techniques such as SIFT, SURF, HOG, and Optical Flow. Programming Skills: Strong skills in C++, Python, or other relevant programming languages. Data Handling: Experience with large image datasets (e.g., COCO, ImageNet), data augmentation, and processing techniques. Computer Vision Libraries: Experience with libraries like OpenCV or scikit-image. GPU Programming: Familiarity with CUDA for training deep learning models on GPUs. Machine Learning Fundamentals: Strong background in machine learning algorithms, statistical methods, and performance analysis techniques. Research & Innovation: Ability to stay current with the latest research trends in computer vision and apply cutting-edge methods to real-world challenges. Be a part of a dynamic, forward-thinking team pushing the boundaries of robotics. Work on innovative products with the potential to redefine the robotics landscape. Collaborate with experts across multiple disciplines in a supportive, growth-focused environment. If you're passionate about advancing the future of robotics and have a deep understanding of computer vision, we encourage you to apply and make a tangible impact on the next generation of intelligent robotic systems. Qualification : PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field

Data Engineer Location: Noida Experience: 2 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, building premium digital platforms across diverse sectors like News, Sports, Fintech, and Enterprise Solutions. Our brands such as TOI, ET, Cricbuzz, Times Prime, Willow TV, and Whatshot reach millions and are designed to simplify and enrich everyday experiences. We take pride in fostering an inclusive, innovative workplace. As an equal opportunity employer, we ve maintained gender pay parity (independently verified by Aon Hewitt) and are committed to building a diverse and equitable team. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform, delivering insightful content, newsletters, and premium conferences across 23+ sectors including Auto, Energy, Pharma, Retail, and HR. With a monthly reach of over 8 million professionals, ETB2B powers business decision-making and industry learning through platforms like ET Masterclass, vConfex, and the ET B2B Intent Signal Platform a cutting-edge initiative leveraging behavioral data, enrichment tools, and event-driven insights. Role Overview As a Data Engineer, you will work on building scalable data pipelines, deploying machine learning models, and extracting actionable buyer intent signals using a variety of data sources and advanced ML/NLP techniques. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines to process large-scale structured and unstructured data (web behavior, CRM, third-party APIs, etc.). Build predictive models to extract buyer intent signals, leveraging NLP, behavioral analytics, and pattern recognition. Use modern ML and NLP tools: spaCy, Transformers, Scikit-learn, TensorFlow, PyTorch, and OpenAI APIs. Collaborate with product managers, backend engineers, and data scientists to deploy models into production and optimize performance. Ensure data pipeline reliability, compliance (GDPR, SOC 2), and freshness through robust monitoring and alerting systems. Enhance pipeline and model inference efficiency for near real-time scoring applications. Document workflows, model performance, and pipeline architecture for internal transparency and reproducibility. Required Skills & Qualifications Strong experience in Python for data engineering, ML pipelines, and model integration. Proficiency with ETL tools (Airflow, Prefect), data processing frameworks (Pandas, Dask), and workflow orchestration. Knowledge of machine learning and NLP techniques (entity extraction, sentiment analysis, text classification). Familiarity with ML model deployment via Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML). Experience with relational databases (PostgreSQL, MySQL) and cloud data warehouses (BigQuery, Redshift, Snowflake). Strong grasp of version control (Git), CI/CD pipelines, and agile collaboration tools. Ability to interpret, visualize, and communicate model insights effectively working alongside analysts or through dashboards. Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related technical field. 2 5 years of hands-on experience in data engineering, applied ML, or software development, ideally in SaaS, Martech, or B2B analytics domains. Be part of India s largest digital ecosystem. Work on impactful, high-scale products with real-world value. Collaborate with top minds in data, AI, and product development. Enjoy a culture of innovation, inclusion, and continuous growth. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related technical field

Position: Product Analyst Assistant Manager (Devices) Location: Noida, Uttar Pradesh (Work From Office) Department: Analytics Offline Merchants (EDC) Employment Type: Full-time Experience: 2 6 years About Paytm Paytm is India s leading mobile payments and financial services distribution company and pioneer of the mobile QR payments revolution. Our mission is to empower half a billion Indians by bringing them into the mainstream economy through innovative technology. About the Team You will work with device data from millions of merchants, deriving actionable insights to optimize device performance and enhance merchant experience. Key Responsibilities & Requirements Advanced experience with SQL for querying and data analysis Basic knowledge of Python for scripting and automation Proficiency in Google Looker or other data visualization tools; experience with Looker Studio is a plus Experience in automation projects related to data extraction, integration, and visualization Advanced Excel skills including VBA for report automation Building management reports, MIS, and dashboards Strong analytical thinking and problem-solving skills Skills & Qualifications Bachelor s degree in Computer Science, Engineering, or a related field 2+ years as a Product Analyst, preferably in fintech, financial services, or technology sectors Ability to translate complex business problems into technical requirements Excellent communication and collaboration skills for cross-functional teamwork Experience in market research and analysis is an added advantage If you re passionate about leveraging data to drive business decisions and want to be part of a leading fintech organization, apply now! Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Core Responsibilities: Assisting manager in performing credit checks, financial due diligence, data analysis for the business across the globe with shorter turnaround times. Working closely with global stakeholders for validating financial and non-financial data with quick turnaround time to support the group business in making data driven decisions. To actively research and scrutinize a variety of data sources to extract and evaluate relevant data and assist in making financial reports for the global business. High quality data (Financial / Non-Financial Data) collation, analysis, extraction and entering the data in work tools as per guideline specifications for assigned vertical. To carry out regular audits on the data ensuring currency, consistency, completeness and correctness is achieved. Supports Manager with financial reporting, credit management, treasury (including banking, mandates), and internal controls in the Country. Prompt processing of Accounts Receivable invoicing, and payment of Accounts Payable invoices, Site returns, staff expenses and processing inter-entity billing journals and preparing supporting invoices where relevant. Investigate and clear invoicing queries, including allocation of cash receipts and debtor follow up. Ensure credit notes are approved in line with delegated authorities Help the manager in reviewing existing Finance Processes, develop process flowcharts, provide recommendations on improvements, and implement changes. Assist in monitoring intercompany accounts to ensure the transactions are valid, reconciled and settled as appropriate with guidance from group Treasury. Assist Manager with internal and external audits. Candidate specification: MBA Finance/ M.Com. with experience of 0-2 years. Good analytical ability with effective communication and interpersonal skills Fluent English (both written and verbal). Strong ability of searching correct data over the internet and other online resources Flexibility to work longer hours at peak times as required Conversant in the use of Microsoft products and experience in other ERP systems Willingness to undertake business travel as required around India Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Qualification : MBA Finance/ M.Com. with experience of 0-2 years.