224 Eda Jobs

#Experience:3+ Years #Skill: PCB eCAD Designer #Notice Period: Immediate #Employment Type: Contract #Work Mode: WFO/Hybrid Mode of Interview: Face to Face (F2F) - PCB layout Designing of Analog, Digital & Mixed signal PCBs - 3 to 5 years in PCB eCAD Multilayer PCB Layout designing. - PCB EDA tool Altium (Mandatory) Other tools knowledge will be added advantage (Cadence-Allegro, PADS & Xpedition). - Library development & Validation.

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Community You Will Join: We are looking for a hands-on Staff, Advanced Analytics who has demonstrated success in building an analytics team with functional expertise in building analytical solutions. Be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization. The Difference You Will Make: Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions. Drive day to day product analytics and build analytical solutions Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience. A Typical Day: Owning the product analytics road map, prioritization & delivery of solutions in the Contact Center Product space. Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines. Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness Collaborate with engineering to define scale logging and ensure observability across Agentic and LLM workflows. Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimizations. Translate insights into strategic recommendations for senior leaders; shape product priorities through data. Hire, mentor and up level team capability in AI analytics, experiment best practices and storytelling. Your Expertise: 12+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences Strong expertise in Python, SQL, A/B testing platforms and best practices Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy). Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement. Experience designing and building metrics, from conception to building prototypes with data pipelines Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions would be a plus Contact center domain and market place domain knowledge would be a plus Our Commitment To Inclusion & Belonging : Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Desired Profile : Bachelor's / Master's degree in engineering from EEE / E&C Expertise in managing and leading technical teams across different continents Expertise in leading business strategy in the VLSI / Semiconductor Services / foundry business industry Expertise in managing end to end projects including tape outs Must be willing to travel at short notice, relocate as per business needs Must be willing to work onsite (customer premises) as per business needs Expertise in working on any of the following technologies is mandatory : ANALOG MIXED SIGNAL LAYOUT - finfet / high speed / planar technology nodes ANALOG DESIGN - data converter / power management / pll ANALOG VERIFICATION ASIC PHYSICAL DESIGN ASIC RTL DESIGN DFT DESIGN - jtag / mbist / lbist / scan DIGITAL VERIFICATION - OVM / UVM / VMM EDA CAD FLOW - tcl / primetime / design compiler Job Specs : Responsible for meeting delivery, revenue, operational, customer satisfaction targets and team management Hire and manage high caliber technical teams across GCC, ODC and onsite Develop, Drive high quality business / technology strategy and oversee the translation of this strategy into tactical action Uphold the organization's culture and long term missions Liaise and negotiate with various partners around the world to bring in new partnership. Synergize all company's resources and talents for the growth of company's business Oversee all sectors and fields of the business to ensure the company's competitiveness Provide leadership, direction, major decision making and resolution support to operations, projects and staff. Build strategic business partnerships and execute these opportunities through collaboration with external partners Location - Bengaluru,Bhubaneswar,Kolkata,Kochi,Mysuru

Relevant Sales experience in Defense / Institutional Sales / Private Commercial Sales / Academics Sales experience in Application or Engineering Software Knowledge on EDA tools - Siemens EDA / Cadence / Synopsys Knowledge on MCAD tools - Cero (ProE)/UGNX/Catia/Solid edge/Solid works/Inventor Knowledge on CAE Tools - Ansys/Nastran/Adams/Altair Knowledge of Procurement procedures such as Tender, Gem portal, E-tender, etc. Must be aware about the complete sales cycle Qualification - BE/ B Tech. in Electronics / Mechanical Mobile No: 9967009259

Role Overview: As a Solution Architect at KANINI, you will be responsible for designing and implementing scalable, robust, and efficient solutions that meet the business requirements of clients. You will collaborate with stakeholders, gather requirements, define architectures, and provide technical guidance throughout the software development lifecycle. The ideal candidate should have a strong technical background, excellent problem-solving skills, and a proven track record of delivering complex projects successfully. Key Responsibilities: - Collaborate with stakeholders to understand business requirements and translate them into scalable solution designs. - Design end-to-end technical solutions aligning with business objectives, ensuring scalability, performance, security, and maintainability. - Provide technical leadership and guidance to development teams, ensuring adherence to best practices and standards. - Conduct architecture reviews, make recommendations to improve system performance, reliability, and usability. - Develop architectural documentation, including system diagrams, specifications, and guidelines. - Evaluate and select appropriate technologies, frameworks, and tools. - Lead proof-of-concept efforts and perform technical feasibility studies. - Collaborate with infrastructure and operations teams for smooth deployment and operations. - Stay updated with emerging technologies, trends, and best practices. - Identify technical risks, develop mitigation strategies for successful project delivery. Qualifications Required: - Proven track record of 3 to 5 years in a solution architect role with 10+ years of overall experience. - Strong experience in designing and implementing scalable, distributed, high-performance systems. - Experience with .NET tech stack, including C#, ASP.NET, and .NET Core. - Experience with cloud platforms like AWS, Azure, or Google Cloud Platform. - Familiarity with Event-Driven Architecture (EDA) and designing event-driven systems using Cloud PaaS offerings. - Familiarity with microservices architecture, Docker, and Kubernetes. - Strong analytical and problem-solving skills. - Excellent verbal and written communication skills. - Ability to work collaboratively in a cross-functional team. - Proficiency in programming languages and frameworks. - Knowledge of SQL and NoSQL database technologies. - Knowledge of frontend technologies such as Angular, React, or Vue.js. - Familiarity with DevOps practices and tools. - Understanding of agile software development methodologies. Additional Company Details: The company prefers candidates with relevant certifications like TOGAF, Microsoft Certified: Azure Solutions Architect, or AWS Solution Architect, although they are desirable and not mandatory. (Note: The Qualifications Required section includes the specific qualifications and experience preferred by the company for the Solution Architect role.),

About The Role : To work independently on block/IP levels analog layout design from schematic. Estimating the Area, Optimizing Floorplan, Routing and Verifications. Good at LVS/DRC debugging skills and other verifications for lower technology nodes like 5,7,10, 14nm FinFet and below. Good understanding of Matching, EM, ESD, Latch-Up, Shielding, Parasitic and short channel concepts. Familiar with EDA tools like Cadence Virtuoso Editor & Calibre RVE Good interpersonal skills and critical thinking abilities to resolve the issue technically, and professionally. Key Responsibilities: Independently execute block/IP-level analog layout from schematics, including area estimation, floorplan optimization, routing, and layout verification. Perform LVS (Layout vs. Schematic) and DRC (Design Rule Check) debugging for advanced FinFET technology nodes (5nm, 7nm, 10nm, 14nm and below). Ensure layout quality by applying principles of matching, electromigration (EM), electrostatic discharge (ESD), latch-up prevention, shielding, parasitic management, and short channel effects. Utilize industry-standard EDA tools such as Cadence Virtuoso Editor and Calibre RVE for layout and verification tasks. Primary Skills : Analog Layout Design(Block/IP level) LVS/DRC Debugging FinFET Technology Node Experience(5nm, 7nm, 10nm, 14nm and below) EDA Tools Cadence Virtuoso Editor Calibre RVE Layout Optimization Area estimation Floorplanning Routing Secondary Skills : These support the primary responsibilities and enhance performance: Understanding of Physical Design Concepts: Matching Electromigration (EM) Electrostatic Discharge (ESD) Latch-Up Shielding Parasitics Short Channel Effects Critical Thinking & Problem Solving Interpersonal and Communication Skills Team Collaboration Educational Qualification: Bachelor"s or Master"s Degree.

Who You'll Work With You will be in the Silicon One development organization as an ASIC DFT Engineer in Bangalore India with a primary focus on Design-for-Test. You will work with DFT Lead, Front-end RTL teams, backend physical design teams to understand chip architecture and drive DFT requirements early in the design cycle. As a member of this team you will also be involved in crafting groundbreaking next generation networking chips. You will help lead to drive the DFT and quality process through the entire Implementation flow and post silicon validation phases with additional exposure to physical design signoff activities. What You'll Do 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. The job requires the candidate to have the ability to craft solutions and debug with minimal mentorship. Who You Are You are an ASIC Design for Test Hardware Engineer with 4-8 years of related work experience with a broad mix of technologies. Minimum Qualifications: Bachelor's or a Masters Degree in Electrical or Computer Engineering required with at least 4 years of experience. Knowledge of the latest innovative trends in DFT, test and silicon engineering. Experience with Jtag protocols, Scan insertion and ATPG. Experience with ATPG and EDA tools like TestMax, Tetramax, Tessent tool sets. Knowledge of the latest innovative trends in DFT, test and silicon engineering. Experience working with Gate level simulation, debugging with VCS and other simulators. Post-silicon validation and debug experience; Ability to work with ATE patterns, P1687 Strong verbal skills and ability to thrive in a multifaceted environment Scripting skills: Tcl, Python/Perl. Preferred Skills: Test Static Timing Analysis Post silicon validation using DFT patterns.

Role & responsibilities As a .NET Application Architect at Gainwell, you can contribute your skills as we harness the power of technology. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions. Here are the details on this position. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development and does not include handling or processing of sensitive health information. Technical Expertise & Essential Job Functions 15 to 23 years of relevant architect experience required, especially in large-scale web applications. Experience with technical product configuration, design, and/or integration Comprehensive knowledge of object-oriented concepts with emphasis on .NET specifications, framework, .NET Core+ and design patterns using C# Experienced in building event driven applications and CQRS pattern. Experience in building ASP. Net Core Web application using MVC or Razor pages. Experience in building applications using ASP. Net Core Web Api, gRPC or GraphQL Experience in implementing SSO in ASP. Net Core Web and Web Api applications using OIDC or OAuth Should have experience in working with any of the messaging systems like RabbitMQ, AWS SNS, Kafka or Azure Service Bus Should have experience in working with distributed caching using Redis. Experience in developing applications using either Azure or AWS services. Experience working with client enterprise products, services, and strategies; and technical products, vendors, families of technologies and product configurations. Create library of standard architecture artifacts. To work on feasibility of auto generating artifacts. Architecture Artifacts are configuration items and should be under change control - store in Github possibly. Create process diagrams that depict the timing and creation of artifacts. Participate in the creation of Technology Roadmaps for Accounts Ability to gather functional requirements and provide the design specifications. Need a meticulous approach that helps them to identify and fix errors in the code. Responsible for making make design choices, coordinate, and oversee technical standards, including software coding standards, tools, and platforms. Take a birds-eye view of a project and decide which platforms, languages, frameworks, libraries, tools, and other technologies should be used within a business. Basic Qualifications Bachelor's degree in computer science, information systems, or related field preferred An ability to work independently across multiple projects, and to meet deadlines. Experience in US Healthcare is beneficial. An ability to rapidly grasp and apply complex business and technical concepts. Entrepreneurial in your approach and able to work with minimal supervision. Must have a sound understanding of the software development and software test lifecycle. Must have a sound understanding of the Agile methodology. Ability to communicate easily with a diverse group of people. Certifications (Nice to have) TOGAF AWS Solution Architect ITIL Foundations Other Qualifications Good in technical design & architect skills Good communication skills to communicate with customers, support personnel, and management. Good analytical and problem-solving skills Good organization skills to balance and prioritize work. Ability to handle multiple tasks simultaneously and switch between tasks quickly. Ability to work independently and as part of a team.

General Summary: 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. ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. As CPU Physical DesignCADengineer, you will build and support the worlds best implementation tools and flows. Your tools and flows will ensure our custom CPUs have industry-leading power, performance and area. Roles andResponsibilities Develop, integrate and release new features in our high-performance place-and-route CAD flow Architect and recommend methodology improvements to ensure our silicon has the best power, performance and area Maintain, support and debug implementation flows, and resolve project-specific issues Work closely with worldwide CPU physical design teams, and provide methodology guidance, tools/flows support and help achieve class-leading PPA. Work with EDA vendors to define roadmap and to resolve tool issues Preferred Qualifications: Bachelors/Masters degree in Electrical/Electronics Engineering or Computer Science 12+ years of hands-on experience in place-and-route of high-performance chips - either in a design or CAD role High level of proficiency in Tcl as well as Python Experience with automation Experience with a wide variety of Physical Design tasks - ranging all the way from place-and-route, analysis, timing sign-off and PDV Experience with advanced technology nodes (5nm or lower) Solid understanding of digital design, timing analysis and physical verification Strong user of industry-standard place-and-route tools such as Cadence Innovus Proven track record of managing and regressing place-and-route flows.

General Summary: 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. ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. Exciting opportunity to work on Digital Flows/Methodologies architecture and development in energetic multi-site CAD team atQualcomm. Our team support Simulation, Emulation, Formal Verification and Post Silicon domains providing ample opportunities to grow and contribute. Responsibilities As a Design Automation Engineer, you will work with RTL, architecture, design, DV, software, and silicon verification users. Develops, maintains, debugs and tests CPU Design Methodologies using Commercial EDA tools Defines and creates flows/scripts to help design teams execute Front-End (RTL) flows seamlessly Create unit, integration, regression, and/or system-level tests to thoroughly validate new features or changes. Work closely withEngIT teams to setup flows which work well with the Engineering Compute Infra at multiple Datacenters Work closely with design teams to define methodologies, drive flow development, and deploy vendor tools Interfaces with external vendors to define, drive and incorporate the latest design solutions to improve productivity and time to market. Support design engineers on the flow setup and resolve their queries, automate tasks through appropriate tools and scripting. Review and debug code to identify and fix code problems. Qualifications Proficient with Python development and strong working knowledge of Linux operating systems Must have worked on Digital flows/methodologies development in the DV domains. Should have proficient skills with one of DV related toolsXcelium/VCS/vManager/Indago/ Verdior equivalent. Experience with CI/CD platform (like Airflow and Jenkins) and Version Control System (like Perforce and/or Git). MS/BS in Electrical/Computer Engineering with 8-14 years of demonstrated experience in CAD or EDA tools flows architecture, development, and support. Demonstrated experience with various EDA software, flows, and architectures & driving EDA vendors to provide feature enhancements and bugfixes. Ability to document design methodologies & provide training on tools and workflows to design teams Strong skills in debugging and analyzing techniques to understand existing scripts/flows; Ability to work independently and explore new domains Proven track record of pushing Prior experience debugging vendor tool problems Strong written and verbal interpersonal skills and track record of success in a collaborative team environment.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. We are looking for a hands-on Staff, Advanced Analytics who has demonstrated success in building an analytics team with functional expertise in building analytical solutions. Be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization. As a Staff, Advanced Analytics, you will act as a data thought partner to product and business leaders across marketplace teams by providing insights, recommendations, and enabling data-informed decisions. Your responsibilities will include driving day-to-day product analytics, developing analytical solutions, and gaining a deep understanding of how guests and hosts interact with our CS products to enhance the customer experience. Your typical day will involve owning the product analytics roadmap, prioritizing and delivering solutions in the Contact Center Product space. You will lead end-to-end measurement for AI systems, collaborate with engineering on defining scale logging, and evaluate A/B and causal tests to quantify the impact of AI features and optimizations. Additionally, you will translate insights into strategic recommendations for senior leaders, shape product priorities through data, and mentor the team in AI analytics and experiment best practices. To be successful in this role, you should have 12+ years of industry experience and a degree (Masters or PhD is a plus) in a quantitative field. Expert communication and collaboration skills are essential, along with proficiency in Python, SQL, A/B testing platforms, and best practices. You should also have strong expertise in statistical analysis, machine learning techniques, and familiarity with AI systems and observability best practices. Airbnb is committed to diversity and inclusion, encouraging individuals from all backgrounds to apply. We believe that diverse perspectives drive innovation and creativity, enabling us to develop the best products and solutions.,

Company: General Summary: 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. ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. As CPU Physical DesignCADengineer, you will build and support the worlds best implementation tools and flows. Your tools and flows will ensure our custom CPUs have industry-leading power, performance and area. Roles andResponsibilities Develop, integrate and release new features in our high-performance place-and-route CAD flow Architect and recommend methodology improvements to ensure our silicon has the best power, performance and area Maintain, support and debug implementation flows, and resolve project-specific issues Work closely with worldwide CPU physical design teams, and provide methodology guidance, tools/flows support and help achieve class-leading PPA. Work with EDA vendors to define roadmap and to resolve tool issues Preferred Qualifications: Bachelors/Masters degree in Electrical/Electronics Engineering or Computer Science 5+ years of hands-on experience in place-and-route of high-performance chips - either in a design or CAD role High level of proficiency in Tcl as well as Python Experience with automation Experience with a wide variety of Physical Design tasks - ranging all the way from place-and-route, analysis, timing sign-off and PDV Experience with advanced technology nodes (5nm or lower) Solid understanding of digital design, timing analysis and physical verification Strong user of industry-standard place-and-route tools such as Cadence Innovus Proven track record of managing and regressing place-and-route flows

We're looking for a dynamic and motivated Data Science Instructor to join our team in Hyderabad. The ideal candidate will be responsible for developing and delivering an engaging curriculum focused on the practical applications of data science concepts. They will provide support and guidance to students while staying updated on industry trends and best practices to enhance the overall learning experience. Experience: Understanding of machine-learning and data science life cycle. Expert knowledge of Python and Python libraries responsible for Data Analysis, Machine Learning and Deep Learning is required Experience using business intelligence tools (e.g. Power BI) and web frameworks (e.g. Flask) Analytical mind and business acumen Roles & Responsibilities: Design and develop engaging content for the learners. Good at managing interactive sessions. Methodical and aggressive learner. Develop and deliver complete end-to-end Data Science Projects and study materials for the learners. Employment Type: Full-Time / Freelance

General Summary: 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. ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. As CPU Physical DesignCADengineer, you will build and support the worlds best implementation tools and flows. Your tools and flows will ensure our custom CPUs have industry-leading power, performance and area. Roles andResponsibilities Develop, integrate and release new features in our high-performance place-and-route CAD flow Architect and recommend methodology improvements to ensure our silicon has the best power, performance and area Maintain, support and debug implementation flows, and resolve project-specific issues Work closely with worldwide CPU physical design teams, and provide methodology guidance, tools/flows support and help achieve class-leading PPA. Work with EDA vendors to define roadmap and to resolve tool issues Preferred Qualifications: Bachelors/Masters degree in Electrical/Electronics Engineering or Computer Science Ten+ years of hands-on experience in place-and-route of high-performance chips - either in a design or CAD role High level of proficiency in Tcl as well as Python Experience with automation Experience with a wide variety of Physical Design tasks - ranging all the way from place-and-route, analysis, timing sign-off and PDV Experience with advanced technology nodes (5nm or lower) Solid understanding of digital design, timing analysis and physical verification Strong user of industry-standard place-and-route tools such as Cadence Innovus Proven track record of managing and regressing place-and-route flows

General Summary: As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Machine Learning for EDA Systems Minimum Experience : 10-15 years in software development for EDA tools Role Overview We are looking for a Staff Software Engineer with a minimum of 10-15 years experience in designing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). You will design, develop, and validate software for cutting-edge initiatives that fuse Machine Learning with semiconductor design, driving robust systems that transform chip development workflows. Key Responsibilities Design and develop end-to-end ML-integrated EDA software platforms built for scale, performance, and adaptability. Develop software development processes , embedding best practices and agility across teams. Perform advanced algorithm design tailored for automation and optimization in EDA flows. Engineer reliable and scalable data pipelines to fuel ML model development and inference. Develop full-stack deployment strategies , enabling ML applications to function across diverse environments. Execute system integration and testing initiatives , ensuring seamless operability across large systems. Ensure reliability and scalability of large system deployments for high-performance compute platforms. Required Skills & Experience Experience in software development, with a focus on architecture for ML and EDA tools. Proven ability to deliver software across diverse domainsML, systems engineering, or infrastructure. Strong coding chops in Python , C++ , and frameworks like TensorFlow , PyTorch , or Scikit-learn . Solid grasp of CI/CD tools (e.g., GitLab, Jenkins) and MLOps platforms (e.g., MLflow, Kubeflow). Sharp communication and leadership skills, with a track record of cross-functional collaboration. Preferred Qualifications MS or PhD in Computer Science, Electrical Engineering, or a related field. Expertise in advanced ML techniquese.g., graph neural networks or reinforcement learning applied to EDA. Contributions to open-source, patents, or technical publications related to ML-driven design automation.

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Responsibilities Anchor ML development track in a client project Data collection, profiling, EDA & data preparation AI Model development, experimentation, tuning & validation Present findings to business users & project management teams Propose ML based solution approaches & estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring Guide junior team members & evangelize AI in organizationTechnical skills Programming: Python, R, SQL ML algorithms: o Statistical ML algorithmso Deep Neural Network architectureso Model ensemblingo Generative AI modelso ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities Azure, AWS, GCP Knowledge of Model Quantization and Pruning Preferred Skills: Technology->Machine learning->data science Technology->Machine Learning->Accord Technology->Data Science->Machine Learning Technology->Machine Learning->Generative AI

As a Senior R&D Engineer at Synopsys, you will have the opportunity to drive innovation that shapes the way we live and connect in the Era of Pervasive Intelligence. Your expertise in developing cutting-edge solutions, particularly in computer science and programming languages like C/C++, will play a crucial role in empowering the creation of high-performance silicon chips and software content. Your strong problem-solving skills and ability to lead and mentor others will be vital in a collaborative environment. Your main responsibilities will include leading the development of high-capacity, high-performance debug solutions for the Zebu emulation platform, driving multi-project functionality in each product release, developing project schedules, identifying and solving complex problems with innovative solutions, as well as engaging with customers to understand their requirements. Your impact will be significant as you enhance the performance and usability of the Zebu emulation platform, drive innovation, improve the overall quality and reliability of software solutions, contribute to the success of multiple projects and product releases, and build strong relationships with customers and stakeholders. Additionally, you will have the opportunity to mentor and guide other team members to achieve their full potential. To excel in this role, you will need a BS/MS degree in Computer Science, Software Engineering, Electrical Engineering, or a related field, along with 3-5 years of solid programming experience in C/C++ and data structures. Proficiency in software design, coding, debugging, and problem-solving is essential, as well as experience in developing scalable and high-performance software products/platforms. Knowledge of EDA and UI development using QT is a plus. As a self-motivated individual who excels at working independently, you will also possess excellent communication skills, strong interpersonal skills, and be a collaborative team player who thrives in a dynamic environment. Your attention to detail, commitment to quality and excellence, innovative thinking, and passion for continuous learning and improvement will set you apart. You will be part of the Zebu R&D team in India, working as an individual technical contributor to create data-driven, high-capacity, and high-performance debug solutions for the emulation platform. By collaborating with global cross-functional teams, you will drive initiatives and deliver innovative solutions that meet the needs of customers. Synopsys offers a comprehensive range of health, wellness, and financial benefits to cater to your needs. Your total rewards will include both monetary and non-monetary offerings, and your recruiter will provide more details about the salary range and benefits during the hiring process.,

Optum's Applied AI team is seeking a detail-oriented and proactive Senior Data Scientist (Core in Data Analysis) with minimum 3-4 years of industry experience to support the development and maintenance of data pipelines that fuel AI/ML initiatives. You will work closely with data engineers and other data scientists to enable large scale data analysis of prior ML inferred data - structured and unstructured clinical datasets. This role blends hands-on data wrangling, transformation logic, and insight generation in a highly collaborative environment. Primary Responsibilities: Collaborate with cross-functional teams - including ML engineers, annotators, and clinical domain experts - to translate business challenges into deployable AI solutions Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems Support the design, development, and maintenance of scalable data pipelines for AI/ML workflows Perform exploratory data analysis (EDA), profiling, and validation on healthcare data to ensure readiness for downstream ML tasks Partner with data scientists to prepare datasets for model training, evaluation, and monitoring Ensure data quality, consistency, and documentation across structured (e.g., EHRs) and unstructured (e.g., scanned PDFs) sources Integrate and monitor data workflows using orchestration tools (e.g., Airflow, Step Functions) Build dashboards or reports to communicate insights, trends, or pipeline health as needed Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's degree in computer science or adjacent field Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application) 4+ years of experience in Data Science (Core in Data Analysis) to support the development and maintenance of data pipelines that fuel AI/ML initiatives Solid experience in Ms Excel and Version Control using GIT Proficiency in Python (Advanced), SQL(Advanced). Experience in tools like Airflow, Jupyter notebook Cloud Exposure: Basic familiarity with AWS ecosystem Visualization Tools: Power BI, Tableau, or Plotly for dashboarding and reporting Data Quality Monitoring: Experience with tools or techniques for detecting data drift or label inconsistencies Healthcare/NLP Domain Knowledge: Prior work with clinical documents, EMR data, or coding workflows Proven excellent Communication Skills Proven flexibility to provide support during critical business periods Proven ability to interpret and present complex data in various formats Proven positive team player with a drive to learn and contribute to achieving results Willingness to work in varying shifts

Atolls is the world's largest community-driven shopping platform, active in over 20 markets worldwide. Since rebranding from Global Savings Group to Atolls, we have evolved into a global powerhouse, dedicated to empowering consumers throughout their shopping journeys. With a focus on savings, cashback, deals, product inspiration, and reviews, we aim to simplify and enhance the shopping experience for millions of users globally. Our mission is to support consumers from Anywhere to Purchase (A to P), making shopping more convenient and enjoyable. Our diverse team of over 1,000 colleagues, representing 70 nationalities across 10 countries, collaborates to create digital products that revolutionize the shopping experience. We foster a culture of innovation, learning, and collaboration, providing opportunities for personal growth, leadership, and impactful contributions. Whether you are involved in product development or enhancing user experiences, you will have the autonomy to make a significant difference and drive real impact. Joining Atolls means becoming part of a dynamic global team that is constantly evolving and creating platforms trusted by millions of users for seamless and confident shopping experiences. We are currently seeking a Senior Full-stack Software Engineer in Bangalore to join our Fulfilment team. In this role, you will play a crucial part in ensuring our customers have a seamless and rewarding experience on our cashback platform. Operating within an agile DevOps environment with a strong customer focus, our Product and Technology team is autonomous and cross-functional. By targeting outcomes through the use of OKRs, we aim to deliver on our vision. As you join us during a growth stage of the business, you will be pivotal in enhancing delivery processes and quality, while supporting your team in providing high-quality solutions for our customers and business. **Responsibilities:** - Design, develop, and maintain web applications using React, Node.js, and related technologies, while ensuring adherence to coding standards and best practices. - Collaborate with front-end developers, designers, engineering, and product managers to deliver high-quality solutions, actively engaging in the full software development lifecycle. - Troubleshoot and debug issues in existing codebases, optimize application performance, and scalability to improve user experience. - Seamlessly integrate third-party APIs and services, staying updated on the latest Node.js and web development trends. - Document code and processes comprehensively for future reference, following security best practices to maintain web application integrity and confidentiality. - Offer technical guidance and support to junior developers as required, contributing to team discussions and decision-making on architecture and technology selection. **Your Profile:** - Minimum of 7 years of experience as a developer. - Strong proficiency in JavaScript, TypeScript, and Node.js (experience with Nest.js, Express.js, or any other framework). - Familiarity with modern JavaScript libraries or frameworks like React, Angular, or Next.js. - Knowledge of AWS technologies such as DynamoDB, Elasticsearch, relational and NoSQL databases, EventBridge, messaging and queuing solutions like SQS, SNS (or any other cloud platform like Google Cloud or Azure). - Understanding of common design and architectural patterns, with the ability to develop elegant designs in back-end, REST API, EDA, and microservice architectures. - Logical, analytical thinking, structured and target-oriented approach, and strong problem-solving skills. - Passion for delivering clean code, unit/integration tests, and maintainable documentation. - Proficiency in Agile/Scrum methodologies and DevOps best practices. - Familiarity with common frameworks like GitLab, Docker, and CI/CD solutions. - Optionally, experience with GraphQL, federation, and Supergraph concepts. - Excellent communication skills in English. If you are ready for this exciting opportunity, we look forward to receiving your CV in English.,

NTT DATA is seeking a Java with EDA to join the team in Noida, Uttar Pradesh (IN-UP), India (IN) as a Technical Analyst for the Digital Platforms Team. In this role, you will play a crucial part in a strategic mobile transformation program by providing strong technical analysis, event-driven architecture expertise, and integration knowledge for low-latency, high-throughput event-driven applications in a hybrid cloud environment. Collaborating with internal IT specialists, strategic partners, and cross-functional teams, you will refine technical requirements, design scalable solutions, and drive continuous improvements in the delivery process. Your responsibilities will include analyzing complex business requirements, defining scalable technical solutions, conducting detailed analysis, designing architectures, and ensuring alignment with best practices in design patterns, software development, and service management. You will also work on event-driven architectures, event streaming approaches, and collaborate with development, infrastructure, and operations teams to deliver event-driven solutions efficiently. Additionally, you will coordinate with internal teams, product vendors, and implementation teams to ensure seamless delivery, support the client's mobile program roadmap, engage with IT partners for collaborative development, and drive continuous improvements in the delivery framework through automation and adoption of industry best practices. Your role will involve minimizing service risks, optimizing delivery timelines, and supporting roadmaps, solution implementation, and technical change management. To excel in this role, you should have at least 5 years of experience in enterprise technology and change management, a strong understanding of event-driven architectures, event streaming, and distributed systems, knowledge of application, eventing, integration, and infrastructure technologies, and experience with hybrid cloud environments and low-latency, high-throughput applications. You should possess excellent stakeholder engagement and communication skills, the ability to work in agile methodologies, and a proven track record in supporting technical solutions and change management. Join NTT DATA, a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in over 50 countries and a robust partner ecosystem, we offer services such as business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. Become a part of our global network and contribute to the digital and AI infrastructure of the future. Visit us at us.nttdata.com.,

Role & responsibilities Description: Performs semiconductor design engineering assignments including engineering and designing chip layout circuits, circuit checking, documenting specifications, modifying and evaluating semiconductor devices and components. Reviews product requirements and logic diagrams for device definition. Typically responsible for projects, or portions of projects, to design, fabricate, modify, and evaluate semiconductor devices and components. 3-5 years of experience Guide and set the direction for the verification effort within your areas of expertise in any project that the team undertakes. Provide verification support to design projects by simulating, analyzing and debugging pre-silicon full chip designs. Develop Test cases/Stimulus to increase the functional coverage for all DRAM and emerging memory architectures and features. Participate in developing verification methodology and verification environments for advanced DRAM and emerging memory products. Co-work with international colleagues on developing new verification flows to take on the challenges in DRAM and emerging memory design. Experience with Gate Level Simulations and timing debugs. Develop and maintain test benches and test vectors using simulation tools and run regressions for coverage analysis and improvements. Additional Details TSMC Certification:- Added Advantage

Hi,Cvent is hiring for Senior Software Engineer- Java developer for technology Department. Interested candidate can apply or 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, ranging from traditional relational to the latest NoSQL products such as Couchbase, AWS DynamoDB. Collaborate with some of the best engineers in the industry to work on complex Software as a Service (SaaS) based applications What You Will Need for this Position: You need to have a strong passion for software development and must take pride in designing and coding. You should also have great analytical skills and ability to handle complex, modular software development in a collaborative team-based environment. In addition to this, you will have a leg up if you also meet the following criteria: Educational Qualifications / Background: Bachelor’s degree (or higher) in Computer Science OR related technical discipline Strong understanding of Computer Science fundamentals Excellent verbal and written communication skills along with strong interpersonal skills Primary Skills: 4 to 7 years of Software Development experience in developing and shipping software Excellent troubleshooting skills Proven ability to work in a fast paced, agile environment and result oriented culture Hands-on programming experience with Java including Object Oriented Design Experience with RESTful Web Services and API development using Spring/Dropwizard or any other framework Experience in contributing to the architecture and design (Design Patterns, Non-Functional Requirements (NFRs) including Performance, Scalability, Reliability, Security) Experience with one or more of the databases: SQL Server, MySQL, PostgreSQL, Oracle, Couchbase, Cassandra, AWS DynamoDB or other NoSQL technologies Experience of working with Queuing technologies such as RabbitMQ/Kafka/Active MQ

Job Overview : We are seeking an exceptional Physical Verification Engineer to take a key role in oursemiconductor design team. As a Block/Fullchip/Partition Physical Verification Engineer , you willResponsible for development and implementation of cutting-edge physical verification methodologiesand flows for complex ASIC designs. You will collaborate closely with cross-functional teams to ensurethe successful delivery of high-quality designs Responsibilities : Drive physical verification DRC, Antenna, LVS, ERC at cutting edge FinFET technology nodesfor various foundries. Physical verification of a complex SOC/ Cores/ Blocks DRC, LVS, ERC, ESD, DFM, Tape out. Work hands-on to solve critical design and execution issues related to physical verificationand sign-off. Own physical verification and sign-off flows, methodologies and execution of SoC/cores. Good hands on Calibre, Virtuoso etc. Requirements: Bachelors or Masters degree in Electrical Engineering or Electronics & Communications. Proficiency in industry-standard EDA tools from Cadence, Synopsys and Mentor Graphics. Strong scripting skills using TCL, Python, or Perl for design automation and tool customization. Expertise in physical verification of Block/Partition/ Full-chip-level DRC, Experience and understanding of all phases of the IC design process from RTL-GDS2. LVS, ERC, DFM Tape out process on cutting edge nodes, Preferably worked on 3nm/5nm/7nm/12nm/14nm/16nm nodes at the major foundries Experience in debugging LVS issues at chip-level/block level with complex analog-mixed signal IPs Experience with design using low-power implementation (level-shifters, isolation cells, power domain/islands, substrate isolation etc.) Experience in physical verification of I/O Ring, corner cells, seal ring, RDL routing, bumps and other full-chip components Good understanding of CMOS/FinFET process and circuit design, base layer related DRCs, ERC rules, latch-up etc. Experience with ERC rules and ESD rules has an added advantage Outstanding communication and interpersonal skills, with the ability to collaborate effectively in a team environment. Proven ability to Engineer and mentor junior engineers, fostering their professional growth and development. Preferred qualifications: Experience with advanced process nodes 3nm, 5nm, 7nm, 10nm including knowledge of FinFET technology. Proven track record with multiple successful final production tape-outs Proven ability to independently deliver results and be able to work hands-on as and guide/help peers to deliver their tasks Be able to work under limited supervision and take complete accountability. Excellent written and verbal communication skills Knowledge on Handling various custom IP such as PLL, Divider, Serdes, ADC, DAC, GPIO, HSIO for PD integration and Physical verification challenges.

If you are seeking a career at a dynamic company that prioritizes its people and fosters a culture of growth and autonomy, ACV could be the ideal workplace for you. At ACV, competitive compensation packages and ample learning and development opportunities are provided to help you progress in your career. The company is committed to continuous improvement by investing in its employees and technology to ensure the success of its customers. ACV looks for individuals who are passionate, bring innovative ideas to the table, and thrive in a collaborative environment. ACV is a technology company that has revolutionized the online buying and selling of cars for dealers, thereby transforming the automotive industry. Through innovation and user-designed, data-driven applications and solutions, ACV has created a trusted and efficient digital marketplace for sourcing, selling, and managing used vehicles. The company is disrupting the industry and invites individuals to join them on this transformative journey. ACV's network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital, ACV Capital, True360, and Data Services. ACV Auctions is establishing its new India Development Center in Chennai, India, and is seeking talented individuals to join their team. As the platform expands, a variety of exciting opportunities across different roles are being offered. ACV values people and upholds principles of trust and transparency. If you are looking for an opportunity to collaborate with industry experts and tackle unique business and technology challenges, ACV could be the perfect fit for you. Join ACV in shaping the future of the automotive marketplace. ACV prioritizes the holistic wellness of its teammates, focusing on their health, physical, financial, social, and emotional well-being. The company offers industry-leading benefits and wellness programs to support its employees. The Machine Learning (ML) team at ACV is looking to expand its MLOps team. This team plays a critical role in supporting various ACV operations and product teams that rely on ML solutions. The growing volume, variety, and velocity of deployments require a strong MLOps function to ensure continued value delivery to partners and customers. Successful candidates will demonstrate excellent skills, self-motivation, teamwork, and the ability to develop and implement end-to-end ML-enabled software solutions that meet stakeholder needs. Those excelling in this role will understand the overarching goal and provide recommendations grounded in practical problem-solving, data, theory, and feasible software solutions. Key Responsibilities: - Support efforts to simplify and enhance the customer experience consistently. - Collaborate with machine learning engineers to build, automate, deploy, and monitor ML applications. - Develop data pipelines for feeding ML models. - Deploy new ML models into production. - Build REST APIs to serve ML model predictions. - Monitor model performance in production. - Perform additional assigned duties. Required Qualifications: - Proficiency in English (reading, writing, speaking, understanding). - Graduate education in a computationally intensive domain or equivalent work experience. - 5+ years of relevant work or lab experience in ML projects/research, with at least 1 year as a tech lead or major contributor on cross-team projects. - Advanced proficiency in Python, SQL, etc. - Experience with cloud services (AWS/GCP), Kubernetes, Docker, CI/CD. Preferred Qualifications: - Experience with MLOps-specific tools like Vertex AI, Feast, Kubeflow, or Weights and Biases is a plus. - Experience in EDA, including data pipeline building and data visualization. - Experience in building ML models. ACV's Values: - Trust & Transparency - People First - Positive Experiences - Calm Persistence - Never Settling,

The position is based at Altimetrik with base locations in Bangalore, Chennai, Pune, Jaipur, Hyderabad, Gurugram. The ideal candidate should be able to join immediately or within 10 days. As a Machine Learning Engineer, your primary responsibility will be to design and implement ML solutions while architecting scalable and efficient systems. You should be proficient in Machine Learning Algorithms, Data Engineering, ETL/ELT processes, data cleaning, preprocessing, EDA, feature engineering, data splitting, and encoding. Additionally, you should have experience in MLOps, including model versioning, training, experimenting, deployment, and monitoring using tools such as Python, Pandas, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, Matplotlib, R, Scala, Java, Git, DVC, MLFlow, Kubernetes, Kubeflow, Docker, Containers, CI/CD deployments, Apache Airflow, Databricks, Snowflake, Salesforce, SAP, AWS/Azure/GCP Data Cloud Platforms, AWS SageMaker, Google AI Platform, Azure Machine Learning, model design and optimization, LLMs models (OpenAI, BERT, LLaMA, Gemini, etc.), RDBMS, NoSQL databases, Vector DB, RAG Pipelines, AI Agent Frameworks, AI agent authentication, deployment, AI security and compliance, and Prompt Engineering. Your secondary skills should include cloud computing, data engineering, and DevOps. You will be responsible for designing and developing AI/ML models and algorithms. Collaboration with data scientists and engineers to ensure the scalability and performance of AI/ML systems will be a key part of your role. To be considered for this position, you should have 12-15 years of experience in AI/ML development, strong expertise in AI/ML frameworks and tools, and excellent problem-solving and technical skills.,