125 Eda Jobs

Job Details: : Performs physical design implementation of custom CPU designs from RTL to GDS to create a design database that is ready for manufacturing. Conducts all aspects of the CPU physical design flow including synthesis, place and route, clock tree synthesis, floor planning, static timing analysis, power/clock distribution, reliability, and power and noise analysis. Conducts verification and signoff including formal equivalence verification, static timing analysis, reliability verification, static and dynamic power integrity, layout verification, electrical rule checking, and structural design checking. Analyzes results and makes recommendations to improve current and future CPU microarchitectures closely collaborating with logic, circuit, architecture, and design automation teams. Possesses CPU specific expertise in various aspects of structural and physical design, including physical clock design, timing closure, coverage analysis, multiple power domain analysis, structured placement, routing, synthesis, and DFT. Works intimately with industry EDA vendors to build and enhance tool capabilities to design a highspeed, low power synthesizable CPU. Optimizes CPU design to improve product level parameters such as power, frequency, and area. Participates in the development and improvement of physical design methodologies and flow automation. Qualifications: Qualifications: B.Tech with 3+ years or M.Tech with 2+ Years of hands-on experience with end-to-end SD flow - synthesis to GDS using industry standard EDA tool, with a proven track record of successful projects. Has good understanding on timing methodology, constraints building etc. Experience in floorplaning concepts and actual work, and integration of hierarchical design Good understanding and experience with multiple power domains designs. Have hands on experience on LV flow and clean up. Job Type: Experienced Hire Shift: Shift 1 (India) Primary Location: India, Bangalore Additional Locations: Business group: The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. *

: 6 to 8 years of Semiconductor industry experience in Custom Mixed-Signal layout design with a bachelors degree in electrical/Electronic Engineering. Able to deliver Custom analog layouts independently from schematic to layout generation, estimating the area, optimizing floorplan, routing, and complete verification flows. Firsthand experience in critical analog layout design blocks such as Temperature sensor, Serdes, PLL, ADC, DAC, LDO, Bandgap, Ref Generators, Charge Pump, Current Mirrors, Comparator, Differential Amplifier etc. Good at LVS/DRC debugging skills and other verifications for lower technology nodes - 14nm FinFet and below. Good understanding of Matching, EM, ESD, Latch-Up, Shielding, Parasitic and short channel concepts. Familiar with EDA tools like Cadence VLE/VXL, PVS, Assura and Calibre DRC/ LVS is necessary. Understanding layout effects on the circuit such as speed, capacitance, power, and area etc. Ability to understand design constraints and implement high-quality layouts. Multiple Tape out support experience and collaborating with cross functional teams will be an added advantage. Good people skills and critical thinking abilities to resolve the issue technically and professionally. Excellent communication. Responsible for timely execution with high quality of layout design. Multiple foundries experience is an added plus. Minimum Educational Qualification : Educational Bachelor's, Electrical or Electronics Engineering or equivalent Role And Responsibilities Responsible for Design and development of critical analog, mixed-signal, custom digital block and full chip level integration support. Perform layout verification like LVS/DRC/Antenna, EM, quality check and documentation. Responsible for on-time delivery of block-level/top-level layouts with acceptable quality. Demonstrate leadership Skill in planning, area/time estimation, scheduling, delegation and execution to meet project schedule/milestones in multiple project environment. Guide junior team-members in their execution of Sub block-level layouts & review their work Should have good experience in working with cross-functional team. Ensure standard processes and procedures are followed to resolve all client queries. Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations to timely deliverable with high quality. Troubleshoot all client queries in a user-friendly, courteous, and professional manner. Offer alternative solutions to clients (where appropriate) with the objective of retaining customers' and clients' business. Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client. Contribute to effective project-management. Effectively communicating with engineering teams in different Geographical locations to assure the success of the layout project. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP CPI for Data Services Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop solutions that align with business needs and requirements. Professional & Technical Skills: -Exposure to Composable Architecture-Exposure to PI/PO + SAP IS , nice to have SAP MII + Azure Integration-Exposure to Migration & Tooling (Catalyst/SAP/Figaf + INT4)-Exposure with modern Integration Architecture - API & EDA-Exposure with Clean Core & Impact on integration Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the team in implementing innovative solutions- Conduct regular team meetings to ensure project progress- Mentor junior team members to enhance their skills Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP CPI for Data Services- This position is based at our Gurugram office- A 15 years full-time education is required Qualification 15 years full time education

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 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Job Role Work on Logic & Physical aware Synthesis with Low Power, QoR optimization, STA and Netlist Signoff flows. Work on Logic equivalence check and low power check clean up. Work on constraints development by interacting with designers and help in porting constraints from block to top-level. Should be able to handle multiple projects by leading a team of 3 to 5 members and deliver. Should be able to lead implementation flow development effort independently by working closely with design team and EDA vendors. Should be able to drive new tool evaluation, methodology refinement for PPA optimization. Should be sincere, dedicated and willing to take up new challenges. Skill Set Proficiency in Python/Tcl. Familiar with Synthesis & STA tools (Fusion Compiler/Genus, Primetime/Tempus). Fair knowledge in LEC, LP signoff tools. Proficient in VLSI front end design steps- Verilog/VHDL, Synthesis, QoR optimization & Equivalence Checking Familiarity with standard software engineering practices like Version Control, Configuration Management.

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 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Additional Qualcomm Global CAD Organization is looking for DFT/ATPG Methodology development lead to develop DFTCAD methodologies for Qualcomms 5G products in advanced FinFET semiconductor process nodes. In this role, you will be a member of a global technical team working with SOC Design, DFT, Product and Test, and Diagnostics teams, as well as EDA Tool vendors to develop world-class DFT methodology solutions. Key Responsibilities Lead DFT ATPG flow development, integration, and deployment efforts independently, collaborating with DFT teams, EDA vendors Drive new ATPG methodology, new tool evaluation, design DoEs, both within Qualcomm and partnering with EDA vendors. Develop optimized recipes for improving test quality, reducing test cost, DFT cycle time, pattern simulation runtimes. Qualifications/Experience BE/B.Tech, ME/MTech/MS in Electrical/Electronics/Computer science Engineering 4-6 years demonstrated experience in VLSI EDA/CAD methodology development in areas of DFT, Scan/ATPG Skills Required Strong knowledge of DFT domain specifically on Scan, ATPG and ATPG pattern simulations Strong development skills in TCL, Python Good understanding of SOC DFT Flow, ATE Flow and practices. Familiarity with standard software development process, systems including Configuration Management, QA, Release and Support Ability to plan and execute formal projects, deliverables. Ability to work with multiple WW teams in a fast paced and dynamic environment. Must be a team player, ability to multi-task, with attention to details. Keywords : DFT, ATPG, Scan, VLSI Test, Tessent, TetraMAX, TestMAX, MBIST, SMS

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Overview: The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must. We are seeking a highly skilled and motivated Language Model Engineer to join our team. The primary role of the engineer will be to train Large Language Models (LLMs) from scratch and fine-tune existing LLMs on various datasets using state-of-the-art techniques. Responsibilities: Model Training and Fine-tuning: Train LLMs from scratch using various datasets. Fine-tune pre-trained models on specific tasks or datasets to improve performance. Implement state-of-the-art LLM training techniques such as Reinforcement Learning from Human Feedback (RLHF), ZeRO (Zero Redundancy Optimizer), Speculative Sampling, and other speculative techniques. Data Management: Handle large datasets effectively. Ensure data quality and integrity. Implement data cleaning and preprocessing techniques. Hands-on with EDA is a plus. Model Evaluation: Evaluate model performance using appropriate metrics. Understand the trade-offs between different evaluation metrics. LLM metrics: Sound understanding of various LLM metrics like MMLU, Rouge, BLEU, Perplexity etc. AWQ: Understanding of Quantization is a plus. Knowledge on QAT will be a plus. Research and Development: Stay updated with the latest research in NLP and LLMs. Implement state-of-the-art techniques and contribute to research efforts. Collaboration: Work closely with other teams to understand requirements and implement solutions. Required Skills and Experience: Deep Learning Frameworks: Hands-on experience with PyTorch at a granular level. Familiarity with tensor operations, automatic differentiation, and GPU acceleration in PyTorch. NLP and LLMs: Strong understanding of Natural Language Processing (NLP) and experience working with LLMs. Programming: Proficiency in Python and experience with software development best practices. Data Handling: Experience working with large datasets. Familiarity with data version control tools is a plus. Education: A degree in Computer Science, Machine Learning, AI, or related field. Advanced degree is a plus. Communication: Excellent written and verbal communication skills. Work experience : Open, 2- 10 years of relevant experience. Preferred Skills: Optimization: Knowledge of optimization techniques for training large models. Neural Architecture Search (NAS): Experience with NAS techniques for optimizing model architectures is a plus. Hands-on experience with CUDA, CUDNN is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

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 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. 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. Additional Additional Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 6+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 5+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. Preferred Qualifications: 10 years of experience Strong understanding of CAD/EDA tools and methodologies. Strong experience scripting (Python, Perl) in support of design verification Hands on experience with regression systems, CI/CD, Revision Control System (git, perforce) workflow. Strong fundamentals in digital design verification methodologies and EDA tools. Knowledge of SOC architecture Experience with web programming (javascript, etc) and databases. Principal Duties and Responsibilities: Develop and implement advanced CAD flows and methodologies to verify critical high performance and low power CPU designs. Utilize scripting languages (python) to automate CAD/IT processes and increase efficiency. Collaborate with cross-functional teams to ensure successful integration of CAD flows. Stay up-to-date with cutting-edge technology, conduct thorough analysis of CAD tools and make improvements. Work closely with users to troubleshoot and resolve any issues that arise in tools, flows, environment, and infrastructure. Collaborate with external vendors to ensure timely delivery, integration, and deployment of CAD/EDA tools while driving them to improve efficiency and productivity. Define and implement new infrastructure capabilities that can be used to accelerate design and development. Level of Responsibility: Works independently with minimal supervision. Work with chip leads in support of design verification. Collaborate with chip leads to understand the design methodology. high-level requirements, determine other areas to support current or future designs that can benefit from automation and tooling. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions. Tasks do not have defined steps; planning, problem-solving, and pri

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 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Job Overview In this highly cross functional role, you will be part of the Global Design Enablement team responsible for various aspects of PDK development across Custom, Analog and RF technology nodes. As a member of the CAD team, you will be working closely with Custom, Analog & RF Engineering design community to develop & support customized tools and flows for Schematic & Layout design, Circuit Simulation, IP characterization, Custom/Analog P&R and transistor-level EM/IR flows. You will also have the responsibility to collaborate with our Foundry and EDA partners to deploy best-in class EDA tools and flows in addition to developing in-house productivity & QoR automation solutions for improving overall design methodology. Minimum Qualifications Bachelors or masters in electrical engineering, Computer Science, or related field. 6+ years of industry experience in CAD/EDA or PDK development Knowledge of Virtuoso suite of tools- Schematic, Layout, Analog Design Environment etc. Proficiency in one or more of the programming/scripting languages- , Python, Perl and TCL. Good understanding of CMOS fundamentals and Circuit Design Concepts Strong aptitude for programming and automation Good communication skills and ability to work collaboratively in a team environment Preferred Qualifications Familiarity with SPICE simulation tools (Hspice, SpectreX/APS, AFS/Solido SPICE , PrimeSim SPICE, ADS, GoldenGate etc.) Experience with Electromagnetic tools, like Peakview and EMX, is a plus. Knowledge of FinFet & SOI processes is a plus Educational RequiredBachelor's, Electrical Engineering

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Overview: The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must. We are seeking a highly skilled and motivated Language Model Engineer to join our team. The primary role of the engineer will be to train Large Language Models (LLMs) from scratch and fine-tune existing LLMs on various datasets using state-of-the-art techniques. Responsibilities: Model Training and Fine-tuning: Train LLMs from scratch using various datasets. Fine-tune pre-trained models on specific tasks or datasets to improve performance. Implement state-of-the-art LLM training techniques such as Reinforcement Learning from Human Feedback (RLHF), ZeRO (Zero Redundancy Optimizer), Speculative Sampling, and other speculative techniques. Data Management: Handle large datasets effectively. Ensure data quality and integrity. Implement data cleaning and preprocessing techniques. Hands-on with EDA is a plus. Model Evaluation: Evaluate model performance using appropriate metrics. Understand the trade-offs between different evaluation metrics. LLM metrics: Sound understanding of various LLM metrics like MMLU, Rouge, BLEU, Perplexity etc. AWQ: Understanding of Quantization is a plus. Knowledge on QAT will be a plus. Research and Development: Stay updated with the latest research in NLP and LLMs. Implement state-of-the-art techniques and contribute to research efforts. Collaboration: Work closely with other teams to understand requirements and implement solutions. Required Skills and Experience: Deep Learning Frameworks: Hands-on experience with PyTorch at a granular level. Familiarity with tensor operations, automatic differentiation, and GPU acceleration in PyTorch. NLP and LLMs: Strong understanding of Natural Language Processing (NLP) and experience working with LLMs. Programming: Proficiency in Python and experience with software development best practices. Data Handling: Experience working with large datasets. Familiarity with data version control tools is a plus. Education: A degree in Computer Science, Machine Learning, AI, or related field. Advanced degree is a plus. Communication: Excellent written and verbal communication skills. Work experience : Open, 2- 10 years of relevant experience. Preferred Skills: Optimization: Knowledge of optimization techniques for training large models. Neural Architecture Search (NAS): Experience with NAS techniques for optimizing model architectures is a plus. Hands-on experience with CUDA, CUDNN is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: GPU Verification Engineer ------ Selected candidates will be part of the GPU HW team which is passionate about developing and delivering the best GPU Cores for all Qualcomm Snapdragon SOC products. Qualcomm GPU is an industry-leading solution which is driving the benchmarks in mobile computing industry and the future of mobile AR/VR. The overall GPU pre-Si verification team in Bangalore is currently heavily involved in the following Formal verification- Block level property based FV sign-off UVM/SV based constrained random test bench for functional verification Subsystem level TB for complete GPU workload analysis and compliance Emulation platforms to analyze performance and pipeline bottlenecks Power Aware & Gate level simulations to deliver a high-quality GPU implementation Perl/Python scripts for automation in managing regressions, optimize run time, manage database and bug triage. In the role of GPU Formal Verification Engineer , your project responsibilities will include the following, Develop high quality formal verification test benches to verify complex designs in GPU. It will involve creating & owning the test plan, test bench, performing debugs , deep bug hunting using formal tools and developing sign off quality testbenches and ensuring coverage closure & convergence metrics Develop deep understanding of 3-D Graphics hardware pipeline, feature sets, data paths, block functionalities & interfaces Engage with EDA vendors, explore new and innovative DV methodologies to push the limits of sign off quality Collaborate with worldwide architecture, design, and systems teams to achieve all project goals Currently, we are looking for candidates who can match one or more of the profiles listed below, Strong knowledge of Formal Property Verification & Assertion Based Verification, Formal Test planning and coverage analysis, Formal sign off & proof convergence strategies Hands-on experience with industry standard formal tools, such as JasperGold, VCFormal or Questa Formal Strong System Verilog Assertions knowledge, proficiency in Verilog, and scripting (Python, Perl, Tcl) is required Knowledge of GPU pipeline design is a plus, not mandatory Understanding of equivalence based methodologies such as DPV and SEQ is desired Strong communication skills (both written and verbal) Most importantly, ability to learn, improve and deliver Experience Minimum 5 years of Design verification experience Senior positions will be offered to candidates with suitable years of experience and proven expertise matching the profiles listed above Education BE/ME/M.Sc. in Electrical, Electronics, VLSI, Microelectronics, or equivalent courses from reputed universities Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.

Job Summary We are seeking a highly skilled Data Scientist with Business analysis with good hands on in Python , SQL , EDA Data Visualization with 3 to 12+ years of experience Key Responsibilities: Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights. Develop and maintain dashboards and reports to visualize key business metrics. Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions. Build and evaluate statistical and machine learning models to support predictive analytics. Translate business problems into analytical frameworks and communicate findings effectively. Must-Have Skills: Proficiency in Python for data manipulation and analysis. Strong knowledge of SQL for querying and managing data. Experience in data analysis and business analytics. Familiarity with machine learning and statistical modelling. Ability to interpret and communicate complex data insights to non-technical stakeholders. Good-to-Have Skills: Experience with data visualization tools. Exposure to Generative AI frameworks and applications. Understanding of cloud platforms (AWS, GCP, or Azure) is a plus.

Job Description: About the role and how you will spend your time: o Work in an Agile Scrum environment to support quality engineering activities in the commerce and payments space o Work with architects and developers to create test plans for new functionality. o Develop and implement best practices for test driven development, continuous build and deploy, and automated testing, o Establish and influence quality engineering best practices across the development community. o Partner across Product Management, Architects, Engineering, Hosting and Operations. o Work with globally distributed teams to engage early and provide continuous delivery of high quality software products that delight Sony customers. Roles & Responsibilities: Bachelors or Masters Degree in Engineering, Computer Science or equivalent experience. o 8+ years experience as an engineer in test. o Extensive hands-on technical expertise, including experience with Java. o Experience with all aspects of software test, including test planning, test automation, load test, failure mode test, etc. o Experience testing RESTful web services and web applications o Experience with build automation and continuous integration tools (e.g., Jenkins). o Experience with test automation frameworks (e.g., Selenium, Cucumber, etc.), code coverage tools (Clover, Karma). o Experience with SQL and database schema designs. o Experience reviewing logs in Splunk or similar. o Ability to estimate effort and size of features o Experience with agile development methodologies and test driven development processes o Experience using source control (esp. Git) and bug tracking systems in a team environment Nice to have: o Experience delivering high performance, active-active, linearly scalable services (Enterprise Java/J2EE, Web Services, Big Data/NoSQL). o Ecommerce platform domain expertise. o Experience testing AWS Managed Services: Kinesis, S3, Lambda, Glue, DynamoDB, SNS, SQS About you: o You possess a drive and passion for quality with the ability to inspire, excite and motivate other team members. o You have outstanding verbal and written communication skills, and are able to work with others at all levels. o You're effective at working with geographically remote and culturally diverse teams. o Your curiosity drives you to go beyond your immediate assignments and actively learn everything you can about the systems you support. You're not afraid to ask questions. o You have associated technology product knowledge, broad industry knowledge and excellent communication skills

Java Architect with 15+ years of experience with ability to architect design distributed enterprise systems, create the required architecturediagrams, detailed design, deployment topoligies and communication mechanisms Hands on experience on microservices, CQS/CQRS, EDA DDD Hands onexperience in design, development of Microservices using Spring framework Good communication skills, help/lead a development scrum team of 5-6 members interms of providing the design,code reviews Good to have experience on Azureand related native services Architect with ability to design distributedenterprise systems and come up with detailed design for the Platform, work withthe team on the implementation 16+ years of professional experience in software development, with a strong focus on Java, NodeJs, Typescript and IOT. Experience in implementing solutions in AWS and IoT. Must have executed at least 2 large engagements as a Lead. Proven experience in architecting and building complex, scalable Node.js applications. Experience implementing AWS cloud solutions. Good to have Experience with DynamoDB and Elastic Search. Expertise in Node.js, JavaScript, and related frameworks (e.g., Express.js, Nest.js). Deep understanding of microservices architecture, API design, and integration patterns. Experience with databases (e.g., MongoDB, PostgreSQL) and caching systems. Experience in implementing micro-frontend architecture. Strong knowledge of front-end technologies (e.g., React, Angular, Vue.js) is a plus. Strong communication and interpersonal skills. Experience working in an Agile/Scrum development environment. Key Responsibilities: Provide technical leadership and expertise in designing, implementing

Sales exp in Aerospace & Defense industry Knowledge on EDA tools Siemens EDA / Cadence / Synopsys Know. on MCAD tools Cero(ProE)/UGNX/ Catia/Solid edge/Solid works/Inventor Know on CAE Tools Ansys/ Nastran/Adams/Altair.

Sales exp in Aerospace & Defense industry Knowledge on EDA tools Siemens EDA / Cadence / Synopsys Know. on MCAD tools Cero(ProE)/UGNX/ Catia/ Solid edge/Solid works/Inventor Know on CAE Tools Ansys/Nastran/ Adams/Altair.

Hi, Cvent is hiring for Senior Software engineer- ASP.net role for Technoology Department . Interested candidate can apply r share their resume at anjali.singh@cvent.com Job Description- What You Will Be Doing: Work on Internet scale applications, where performance, reliability, scalability and security are critical design goals not after-thoughts. Create intuitive, interactive and easy-to-use web applications using rich client-side and REST based server-side code. Implement the nuts and bolts of Microservices Architecture, Service-Oriented Architecture (SOA) and Event-Driven Architecture (EDA) in real-life applications. Gain experience with different database technologies SQL Server, Oracle, Postgres, MySQL Collaborate with some of the best engineers in the industry to work on complex Software as a Service (SaaS) based applications

Job Title: Data Analyst Location: Bangalore Experience: 6+ years Role Overview: We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities • Analyze time-series and sensor data from various sources • Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. • Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. • Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). • Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. • Work with stakeholders to understand reporting needs and deliver businessoriented outputs. Qualifications & Required Skills • Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. • 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. • Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). • Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). • Proficiency in Python or R for data manipulation and exploratory analysis. • Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). • Solid grasp of statistical analysis and anomaly detection methods. • Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills • Domain experience in airports, smart infrastructure, transportation, or logistics. • Familiarity with data platforms (Snowflake, BigQuery, Custom-built using opensource). • Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. • Basic understanding of AI/ML workflows and data preparation requirements.

Lead Analog Layout Engineer Experience8 to 10 Years QualificationB.E / B. Tech / M.E / M. Tech Essential Duties & Responsibilities: Candidate should have a strong knowledge on devices and process/fabrication technology. Should have work experience in 7nm, 10nm, 14nm, 16nm etc Good understating of Deep Submicron issues and layout techniques. Expertise on matching, parasitic reduction, ESD, DFM etc. Proficiency in use of below EDA tools for full custom layout and post-layout verification DRC/LVS/DFM etc. Cadence Virtuoso Layout editor (L/XL/GXL) Verification toolsAssura/PVS/Calibre/ Hercules Ability to handle a team Preferred Skills: Scripting Knowledge of perl/shell/skill are highly preferred Job Category VLSI (Silicon engineering) Job Location FinlandOulu IndiaBangalore IndiaChennai IndiaHyderabad IndiaNoida Malaysia S. KoreaSeoul Singapore SwedenStockholm USADelaware USATexas Location - Bengaluru,Chennai,Hyderabad,Noida

Job Title: Data Analyst Location: Bangalore Experience: 6+ years Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. Work with stakeholders to understand reporting needs and deliver businessoriented outputs. Qualifications & Required Skills Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). Proficiency in Python or R for data manipulation and exploratory analysis. Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). Solid grasp of statistical analysis and anomaly detection methods. Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills Domain experience in airports, smart infrastructure, transportation, or logistics. Familiarity with data platforms (Snowflake, BigQuery, Custom-built using opensource). Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. Basic understanding of AI/ML workflows and data preparation requirements.

locationsMumbai - Hiranandaniposted onPosted 8 Days Ago time left to applyEnd DateJune 2, 2025 (2 days left to apply) job requisition idR_300134 Company: Mercer Description: Marsh McLennan Global Services India Private Limited (MMGS) is seeking candidates for the following position based in the Mumbai, India office Senior Principal Engineer Data Science We will count on you to Design and implement data analytics products to solve complex business problems and drive strategic outcomes. Utilize strong conceptual skills to explore Art of the Possible" in analytics, integrating data, market trends, and cutting-edge technologies to inform business strategies. Manage and manipulate large datasets from diverse sources, ensuring data quality through cleaning, consolidation, and transformation into meaningful insights. Conduct exploratory data analysis (EDA) to identify patterns and trends, reporting key metrics and synthesize disparate datasets for comprehensive insights. Perform rigorous quality assurance (QA) on datasets, ensuring accuracy, logical consistency, and alignment with analytical dashboards. Automate data capture processes from various sources, streamlining data cleaning and insight generation workflows. Apply knowledge of insurance claims, policies, terminologies, health risks, and wellbeing to enhance analytical models and insights. Develop Automation Solution for generating reports using tools such as Python, GenAI and ChatGPT APIs ensuring efficient and optimized code. Communicate complex data-driven solutions clearly and effectively, translating technical findings into actionable business recommendations. Having knowledge around Power BI/LLM/RAG will be preferred What you need to have Bachelors degree in engineering / Analytics or Masters Degree in Statistics/Computer Applications/ IT/Analytics /any discipline related to Data visualization / Analytics. 2-5 years of progressive experience in Data Science Hands-on exp. in Python (advance knowledge), GenAI, Excel - Intermediate and good understanding of BI tools Power BI Technical expertise with data models, data mining, and segmentation techniques Strong consulting experience and stakeholder management Basic to intermediate visualization experience in Power BI Excellent with data understanding, transformation and EDA Keenness and urgency to learn about the Marsh and the business units business, and insurance industry in general What makes you stand out Should have an aspiration to learn and grow. Strong communication skills with an ability to work in a team. Should be able to work as a Team-player and adopt changes without hesitation. A commercial sense to apply proportionality to the depth of analytics used versus desired output. Ability to take initiatives to strive for improvement in analytics techniques, process and output. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Data Scientist Chennai - Guindy, India Information Technology 17006 Overview Data Scientist job description typically involvescollecting, cleaning, analyzing, and interpreting large datasets to uncover insights and build predictive models.He should use data visualization tools to present findings, make recommendations, and communicate their work to stakeholders. Responsibilities Data Collection and Preparation: Gather data from various sources, clean and preprocess it, and transform it into a usable format for analysis. Data Analysis: Conduct exploratory data analysis (EDA), identify patterns and trends, and use statistical methods to extract meaningful insights. Model Building: Develop and implement machine learning algorithms and predictive models to solve business problems. Data Visualization: Create clear and informative visualizations to present findings and communicate insights to stakeholders. Communication: Clearly communicate findings, recommendations, and the implications of data-driven decisions to both technical and non-technical audiences. Problem Solving: Identify business problems, develop data-driven solutions, and evaluate the effectiveness of proposed solutions. Requirements Programming: Proficiency in languages like Python and R, as well as familiarity with data manipulation libraries (e.g., Pandas, NumPy). Statistics and Probability: A strong foundation in statistical concepts, probability distributions, and hypothesis testing. Machine Learning: Knowledge of various machine learning algorithms, model selection, and evaluation techniques.

Role Description : Key Accounts Manager / Accounts Manager (3-5 year experience ) Work Contribution Stream : Sales/Marketing Location: Delhi/ Noida/ Gurgaon Responsibilities: Achievement of revenue targets, New Product Sales (NPS) & AMC revenue for Siemens PCB/FPGA / Mechanical design & simulation tools from Delhi/Noida/ Gurgaon & North region customers Forecasting and developing annual sales quota for region and ensuring that the quarterly and annual Sales targets are met. Accurately Forecast business and funnel generation activities within the territory. Develop , maintain, and execute a Territory plan for Automotive, Industrial, Semicon, Defense & new startups. Develop and implement new sales/Marketing initiatives and strategies. Work closely with the Application engineering team to ensure continuous customer demo/ support Identify new market opportunities and accountable for new client acquisition as per the assigned targets. Minimum Qualifications: BE Electronics /BE Mechanical with MBA in Sales/Marketing [Preferably] with min. 3-5 years of experience in either EDA , Embedded software or CAD, CAE software sales. Preferred Qualifications: Minimum 3-5 years of effective solution selling experience to commercial accounts from different industry vertical such as, Automotive, A&D suppliers, Industrial , Semicon, Engineering Services etc Good track record in Sales quota achievement & new logos acquisition Demonstrated experience to balance volume and strategic sales. Highly analytical but balanced with commercial selling ability and strong negotiation skills. Should have experience in selling to Senior Executives and Department Heads Self-motivated and goal driven, creative, high-energy and a strong team player. Strong work ethics and organized, quick learner.

Your Impact Responsible for implementing the Hardware Design-for-Test (DFT) features that support ATE, in-system test, debug and diagnostics needs of the designs. Responsible for development of innovative DFT IP in collaboration with the multi-functional teams, and play a key role in full chip design integration with the testability features coordinated in the RTL. Work closely with the design/design-verification and PD teams to enable the integration and validation of the Test logic in all phases of the implementation and post silicon validation flows. Your team will participate in the creation of Innovative Hardware DFT & physical design aspects for new silicon device models, bare die & stacked die, driving re-usable test and debug strategies. The job requires the candidate to have the ability to craft solutions and debug with minimal mentorship. Minimum Qualifications: Bachelor's or a Masters Degree in Electrical or Computer Engineering required with at least 10 years of experience. Knowledge of the latest innovative trends in DFT, test and silicon engineering. Background with Jtag protocols, Scan and BIST architectures, including memory BIST and boundary scan. Background with ATPG and EDA tools like TestMax, Tetramax, Tessent tool sets, PrimeTime Verification skills include, System Verilog Logic Equivalency checking and validating the Test-timing of the design Knowledge of the latest innovative trends in DFT, test and silicon engineering. Experience with Jtag protocols, Scan and BIST architectures, including memory BIST and boundary scan. Prior experience with ATPG and EDA tools like TestMax, Tetramax, Tessent tool sets, PrimeTime Prior experience working with Gate level simulation, debugging with VCS and other simulators. Prior experience with Post-silicon validation and debug experience; Ability to work with ATE patterns, P1687 Prior experience with Scripting skills: Tcl, Python/Perl. Preferred Qualifications: Verilog design experience developing custom DFT logic & IP integration; familiarity with functional verification DFT CAD development Test Architecture, Methodology and Infrastructure Background in Test Static Timing Analysis Past experience with Post silicon validation using DFT patterns.

We are seeking a hands-on, forward-thinking Machine Learning Technical Lead with deep expertise in traditional ML, NLP, Generative AI, and causal inference, and a strong understanding of multimodal large language models (LLMs) capable of processing both image and text data. The ideal candidate will lead the development, scaling, and evaluation of cutting-edge AI systems that deliver high business value from complex, high-volume datasets. This role involves team leadership, cloud-native ML deployment (AWS/Azure), statistical rigor, and clear communication of AI-driven insights to both technical and non-technical stake holders Key Responsibilities: Lead the design, development, and deployment of machine learning systems covering: Predictive modelling NLP tasks: NER, summarization, classification Generative AI: LLMs with prompt engineering and fine-tuning Causal inference and impact evaluation Multimodal modelling using vision-language models (e.g., CLIP, BLIP, GPT-4V) for use cases that involve image and text inputs Build and scale models that support impact evaluation, uplift modelling, and causal inference, using frameworks like Do Why, EconML, or CausalNex. Collaborate with stakeholders to define, quantify, and evaluate the causal impact of product interventions, policy changes, or ML-driven decisions. Architect scalable ML pipelines on AWS or Azure, handling high-throughput, multi-source data ingestion and model orchestration. Guide the integration of LLMs and prompt engineering into business workflows (e.g., classification, summarization, generative reasoning). Conduct deep exploratory data analysis (EDA) using statistical techniques: hypothesis testing, correlation analysis, regression diagnostics. Ensure robust MLOps practices including CI/CD, automated retraining, performance monitoring, and rollback strategies. Present AI findings, impact estimates, and strategic implications to technical peers, executives, and cross-functional partners. Mentor and manage a team of data scientists and ML engineers, fostering best practices and continuous innovation. Required Skills and Qualifications: Bachelors or Master’s in Computer Science, Statistics, Data Science, or related quantitative field. 6+ years of experience in AI/ML development, with 2+ years in a technical leadership capacity. Hands-on experience with: Predictive modelling (e.g., regression, XGBoost, tree-based models) NLP systems (e.g., NER, summarization, classification) Generative AI models (e.g., GPT, LLaMA) and prompt engineering Causal inference frameworks (e.g., DoWhy, EconML, Pyro) Strong statistical foundation with expertise in experimental design, counterfactual analysis, and impact evaluation. Proficiency in Python, PySpark, and libraries like scikit-learn, Hugging Face Transformers, and REST framework Candidate must be in Chennai or in the nearby districts, or in the nearby states of Kerala, Karnataka and willing to relocate to Chennai

Execute and support R&D activities leveraging metadata from multiple databases, ETL/ELT products, reporting tools etc. Develop, test, and deploy Python and SQL-based solutions to automate and optimize operational processes. Data Analysis & Reporting Required Candidate profile Provide hands-on programming support for AI-driven initiatives. Mastery in Python Programming Advanced SQL Proficiency analytical methodologies, statistical concepts, and data visualization techniques