125 Eda Jobs - Page 4

Responsibilities Deep experience in Python and associated frameworks to develop robust and efficient code for machine learning models and data pipelines. Build infrastructure as code using tools such as Terraform or equivalent, ensuring scalable and reliable deployment of resources. Design and implement CI/CD pipelines using technologies like Tekton, Jenkins, GitActions, or GCP Cloud Functions, ensuring smooth and automated software delivery. Develop API services to enable seamless integration of machine learning models and pipelines into various applications and platforms. Take MVP/PoC solutions and elevate them to production-level services and mature products. Conduct end-to-end testing across all stages of development to ensure first-time-right implementations. Manage deployment platforms for various machine learning models, ensuring modularity and efficiency. Integrate machine learning features into large-scale products and platforms, collaborating with cross-functional teams. Create and manage large-scale data transformation pipelines, enabling efficient data processing and analysis. Orchestrate pipelines using tools like Airflow and Kubeflow, both for structured and unstructured data workflows. Develop an EDA (Exploratory Data Analysis) automation framework that can be leveraged at scale for data insights. Must-Have Skills Minimum of 3+ years of hands-on experience in Google Cloud Platform (GCP) with expertise in components such as Astronomer, SQL, Pyspark, Scikit, Github, and VertexAI, NLP, Open CV. At least 3+ years of experience in Python programming, with a strong understanding of its libraries and frameworks. Proven ability to convert complex requirements into practical technical solutions.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : React.js Good to have skills : Node.js, AWS CloudFormation, DevOps, Automation unit testing and in, IAC, Jenkins, Git, SOA, EDA, R Minimum 3 year(s) of experience is required Educational Qualification : min 15 years of fulltime education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using React.js. Your typical day will involve working with AWS CloudFormation, DevOps, Node.js, Automation unit testing, IAC, Jenkins, Git, SOA, EDA, and R to deliver high-quality solutions. Roles & Responsibilities: Design, develop, and maintain high-quality applications using React.js. Collaborate with cross-functional teams to identify and prioritize application requirements. Develop and maintain automated unit tests to ensure code quality and integrity. Implement DevOps practices to streamline application development and deployment processes. Utilize IAC, Jenkins, Git, SOA, EDA, and R to design, build, and configure applications to meet business process and application requirements. Professional & Technical Skills: Must To Have Skills:Proficiency in React.js. Good To Have Skills:Experience with AWS CloudFormation, DevOps, Node.js, Automation unit testing, IAC, Jenkins, Git, SOA, EDA, and R. Strong understanding of software engineering principles and best practices. Experience with agile development methodologies. Solid grasp of database design and development. Experience with RESTful web services and API development. Additional Information: The candidate should have a minimum of 3 years of experience in React.js. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. This position is based at our Bengaluru office. Qualification min 15 years of fulltime education

Senior Analyst - Data Science: Job Description: We are looking for a talented and experienced Senior Data Scientist with a minimum of 4 years of professional experience in model development and expertise in Gen AI projects. As a Senior Data Scientist, you will be responsible for developing advanced machine learning models, conducting exploratory data analysis (EDA), performing feature selection/reduction, and utilizing cutting-edge technologies to deliver high-quality solutions. The ideal candidate should possess strong programming proficiency in Python and experience with cloud platforms like GCP or equivalent, as well as visualization tools like Qliksense, Power BI, Looker Studio, or Tableau. Job Responsibility: Data Scientists 4+ Year (Mandatory Skills) Model development (regression and classification), should have strong experience in performing EDA, Feature selection/Feature Reduction, building models and evaluate its performance Should have worked on Gen AI project Strong programming proficiency in python with mastery of data science libraries Pandas, numpy and scikitlearn GCP (BQ, Vertex AI) or other equivalent cloud Visualization (Qliksense / Looker Studio / Power BI / Tableau) Skills : GenAI Model development (regression and classification) EDA Python GCP / other equivalent cloud Visualization Data Scientist We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

About the Role We are seeking a Senior Python/Data Engineer to design, develop, and optimize large-scale data pipelines, transformation workflows, and analytics-ready datasets . This role requires expertise in Python, Apache Airflow, Apache Spark, SQL, and DuckDB , along with strong experience in data quality, data processing, and automation . As a Senior Data Engineer , you will play a key role in building scalable, high-performance data engineering solutions , ensuring data integrity, and supporting real-time and batch data workflows . You will work closely with Data Scientists, Analysts, DevOps, and Engineering teams to build efficient, cost-effective, and reliable data architectures . Key Responsibilities Design, build, and maintain scalable ETL/ELT data pipelines using Apache Airflow, Spark, and SQL . Develop Python-based data engineering solutions to automate data ingestion, transformation, and validation. Implement data transformation and quality checks for structured and unstructured datasets. Work with DuckDB and other in-memory databases to enable fast exploratory data analysis (EDA). Optimize data storage and retrieval using Parquet, Apache Iceberg, and S3-based data lakes . Develop SQL-based analytics workflows and optimize performance for querying large datasets. Implement data lineage, governance, and metadata management for enterprise-scale data solutions. Ensure high availability, fault tolerance, and security of data pipelines. Collaborate with Data Science, AI/ML, and Business Intelligence teams to enable real-time and batch analytics . Work with cloud platforms ( AWS, Azure, GCP ) for data pipeline deployment and scaling. Write clean, efficient, and maintainable code following best software engineering practices. Required Skills & Qualifications 7+ years of experience in data engineering, big data processing, and backend development . Expertise in Python for data processing and automation. Strong experience with Apache Airflow for workflow orchestration. Hands-on experience with Apache Spark for big data transformations. Proficiency in SQL (PostgreSQL, DuckDB, Snowflake, etc.) for analytics and ETL workflows. Experience with data transformation, data validation, and quality assurance frameworks . Hands-on experience with DuckDB, Apache Arrow, or Vaex for in-memory data processing. Knowledge of data lake architectures (S3, Parquet, Iceberg) and cloud data storage. Familiarity with distributed computing, parallel processing, and optimized query execution . Experience working in CI/CD, DevOps, containerization (Docker, Kubernetes), and cloud environments . Strong problem-solving and debugging skills. Excellent written and verbal communication skills. Preferred Skills (Nice to Have) Experience programming in JAVA/JEE platform is highly desired. Experience with data streaming technologies (Kafka, Flink, Kinesis) . Familiarity with NoSQL databases (MongoDB, DynamoDB) . Exposure to AI/ML data pipelines and feature engineering . Knowledge of data security, compliance (SOC2 Type2, GDPR, HIPAA), and governance best practices . Experience in building metadata-driven data pipelines for self-service analytics.

About The Role Come join Intel's highly regarded Devices Development Group, responsible for creating Client SOCs. We envision the future of computing and design for the next generation of laptop and desktop computers. We are looking for a SoC Physical Design Engineer, who is ready to research, design, develop, and test lead Intel designs as we reimagine how to build SoCs at Intel and in the semiconductor industry. Our bold purpose as a company is to create world-changing technology that enriches the lives of every person on earth and this role is instrumental in furthering our mission to shape the future of technology. Your responsibilities may include but not be limited to: Performing physical design implementation of custom IP and SoC designs from RTL to GDS to create a design database that is ready for manufacturing. Physical Synthesis, Floor planning, Place and Route, Clock Tree Synthesis with Synopsys and/or Cadence EDA tools. Multiple Power Domain analysis and handling using standard Power Formats UPF or CPF. Verification and Signoff including Formal Equivalence Verification, Static Timing Analysis, Reliability Verification, Static and Dynamic power integrity, Layout Verification, Electrical rule checking, Noise analysis and Structural Design checking. Analyzes results and makes recommendations to fix violations for current and future product architecture. Participating in the development and improvement of physical design methodologies and flow automation. Driving performance optimization, including co-optimization, work with process teams, to create best-in-class designs. The ideal candidate should exhibit behavioral traits that indicate: Self-motivator with strong problem-solving skills. Excellent interpersonal skills, including written, verbal, and presentation communications. Attention to detail and organizational skills. Ability to work as part of a team and collaborate in a high-paced atmosphere. Qualifications BS/BTech degree with 12 years of experience, or MS/MTech degree with 10 years of experience, in Electronics Computer Engineering, or a related field. Preferred Qualifications: At least 10+ years of experience in physical design using industry EDA tools. Experience in Python/Perl/TCL programming languages Inside this 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.

About The Role Come join Intel's highly regarded Devices Development Group, responsible for creating Client SOCs. We envision the future of computing and design for the next generation of laptop and desktop computers. We are looking for a SoC Physical Design Engineer, who is ready to research, design, develop, and test lead Intel designs as we reimagine how to build SoCs at Intel and in the semiconductor industry. Our bold purpose as a company is to create world-changing technology that enriches the lives of every person on earth and this role is instrumental in furthering our mission to shape the future of technology. Your responsibilities may include but not be limited to: Performing physical design implementation of custom IP and SoC designs from RTL to GDS to create a design database that is ready for manufacturing. Physical Synthesis, Floor planning, Place and Route, Clock Tree Synthesis with Synopsys and/or Cadence EDA tools. Multiple Power Domain analysis and handling using standard Power Formats UPF or CPF. Verification and Signoff including Formal Equivalence Verification, Static Timing Analysis, Reliability Verification, Static and Dynamic power integrity, Layout Verification, Electrical rule checking, Noise analysis and Structural Design checking. Analyzes results and makes recommendations to fix violations for current and future product architecture. Participating in the development and improvement of physical design methodologies and flow automation. Driving performance optimization, including co-optimization, work with process teams, to create best-in-class designs. The ideal candidate should exhibit behavioral traits that indicate: Self-motivator with strong problem-solving skills. Excellent interpersonal skills, including written, verbal, and presentation communications. Attention to detail and organizational skills. Ability to work as part of a team and collaborate in a high-paced atmosphere. Qualifications BS/BTech degree with 8 years of experience, or MS/MTech degree with 6 years of experience, in Electronics Computer Engineering, or a related field. Preferred Qualifications: At least 8+ years of experience in physical design using industry EDA tools. Experience in Python/Perl/TCL programming languages Inside this 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.

About The Role About The Role : Come join Intel's highly regarded Devices Development Group, responsible for creating Client SOCs. We envision the future of computing and design for the next generation of laptop and desktop computers.We are seeking a highly skilled and motivated STA (Static Timing Analysis) Engineer to join our team specializing in timing analysis for cutting-edge and complex SoC projects. This role offers a unique opportunity to work on high-level designs and collaborate with multidisciplinary teams in a dynamic and challenging environment. Your responsibilities may include but not be limited to: STA setup, convergence, reviews and sign-off for Multi-Mode and Multi-corner Multi voltage domain designs. Timing analysis and Timing Closure at Partition/Sub-system/FC level. Develops and defines methodologies to ensure highest quality of timing models that enable the physical design team to operate efficiently. Defines the right process, voltage, and temperature (PVT) conditions to be used for timing analysis for a given design based on the product plans such as operating conditions and binning. Collaborates with architecture, clocking design, and logic design teams to deliver flow development for chip integration and validates high performance low power clock network guidelines. Familiar with Constraint Generation, development and clean up. Good at Timing ECO Implementation strategy development/convergence. Should have an experience in enabling the Tweaker/Prime Time based ECO flows. Work on Automation scripts with in STA tools for Methodology development. Familiar with digital design Implementation RTL to GDSII Synopsys/Cadence tools. Familiar with LVF/POCV variation formats and understanding of deep sub-micron topics. Participate in and lead cross-functional meetings to drive project progress and resolve timing-related challenges. Act as a liaison between timing analysis and physical design teams, ensuring alignment and high-quality deliverables. The ideal candidate should exhibit behavioral traits that indicate: Self-motivator with strong problem-solving skills. Excellent interpersonal skills, including written, verbal, and presentation communications. Attention to detail and organizational skills. Ability to work as part of a team and collaborate in a high-paced atmosphere. Qualifications Educational Qualifications: BS/BTech degree with 8 years of experience, or MS/MTech degree with 6 years of experience in Electronics/VLSI/Computer Science or a related field. Preferred Qualification: At least 8+ years of experience in STA Timing Analysis using industry EDA tools. Experience in Python/Perl/TCL programming languages. Inside this 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.

Hardware Design Good Experience in High Speed Hardware Design. 1.relevant embedded hardware design 2. Proficiency in 8 bit, 16 bit and 32 bit microcontroller based designs 3. Proficiency in communication protocols like SPI, I2C, CAN, UART, USB, ethernet etc. 4. Experience in low power and low voltage, Power supply designs 5. Proficiency in schematics preparation in any of EDA tools is must. 6. Experience in hardware testing and validation is required 7. Experience in solving EMI/EMC problems is required 8. Knowledge about electronics product regulatory standards is required 9. Ability to guide PCB designer on layout and routing 10. Experience in board bring up, prototyping skills etc are required. 11. Knowledge in hardware Design work flow is required 12. Knowledge in configuration management tool is a good to have 13. Proficiency in high speed digital signal integrity analysis is an advantage

S&C GN - Tech Strategy & Advisory - Cloud Architecture (App Modernization) - Manager Practice Overview: Skill/Operating Group Technology Consulting Level Manager Location Gurgaon/Mumbai/Bangalore/Pune/Kolkata Travel Percentage Expected Travel could be anywhere between 0-100% Principal Duties And Responsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertise"strategic, industry, functional, technical"in a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. To lead large scale Application Modernization Projects Design an Application Modernization Strategy for Enterprises to meet Business Goals Build strategy and roadmap for Migration to Cloud Design the Application Modernization Architecture on cloud solutions such as AWS, Azure, GCP, Ali Cloud Deep understanding of Microservices and EDA Implementing programs/interventions that prepare the organization for implementation of new business processes Provide thought leadership to the downstream teams for developing offerings and assets Identifying, assessing, and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models Driving enterprise business, application, and integration architecture Helping solves key business problems and challenges by enabling a cloud-based architecture transformation, painting a picture of, and charting a journey from the current state to a "to-be" enterprise environment Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in participating in client presentations & orals for proposal defense etc. Experience in effectively communicating the target state, architecture & topology on cloud to clients. Qualifications Qualifications: Bachelors degree MBA Degree from Tier-1 College (Preferable) 9-13 years of large-scale consulting experience and/or working with hi tech companies leading Projects on Cloud Strategy, Assessment, Cloud architecture, App Modernization, Containers, information security and information management. Architect Certification on Azure/AWS/GCP Experience: We are seeking experienced professionals who have led large-scale engagements in application modernization, cloud architecture, and cloud strategy. The ideal candidates will have technical expertise in cloud strategy, assessments, cloud architecture, application modernization, and containers, across all stages of the innovation lifecycle, with a focus on shaping the future in real-time. The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources. Key Competencies and Skills: The right candidate should have competency and skills aligned to one or more of these archetypes Application Modernization Experience leading and designing the composable architecture leveraging Microservices, EDA on the Cloud Platforms. Cloud Architecture :Experience with private, public and hybrid cloud architectures, pros/cons, and Hybrid cloud integration architecture Cloud-native application development, DevOps and data integration within cloud platform Cloud Migration :Delivering cloud migration roadmaps and managing execution from a project management perspective. Cloud Deployment across various hyper-scaler platforms (AWS, Azure, GCP) and models (PaaS, SaaS, IaaS), containers and virtualization platforms (VMWare.) Other desired skills - Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Flexibility to accommodate client travel requirements Published Thought leadership Whitepapers, POVs

6-15 years proven experience as a Data Scientist or Machine Learning Engineer Bachelors or Masters degree in Computer Science, Engineering or Data Science Machine Learning relevant field; graduate degree in Data Science or another quantitative field is preferred Key Skills Machine Learning Engineer with strong knowledge of Python and cloud based deployments Strong knowledge of EDA, NLP, Topic Modeling, NER, Embedding models and Semantic Search based techniques Have working knowledge of LLMs via APIs like Open AI and deploying open source LLMs like LLAMA2 and FLAN T5 etc Strong knowledge of Lang Chain framework and Fast API of python is a must have. Knowledge of runtimes like ONNX, Quantization, QLORA technique Working experience of Cloud preferably Azure. Understanding of MLOps frameworks is a big plus Knowledge of Classification, Q&A network using BERT etc Strong knowledge of tensorflow and pytorch frameworks

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: HW Design Engineer who will design and deliver high-quality boards for FPGA-based Emulation Platforms and/or Post-Si validation boards. This person will be directly responsible for all aspects of hardware design and delivery, including schematic capture, managing constraints, and overseeing layout, BOM management, design verification testing of the board, debug, and bring-up support for Emulation/Verification teams, who will use these platforms. The role requires working closely with cross-functional teams involved with a typical hardware design project:mechanical design, PCB CAD, Power/Signal Integrity analysis, component engineering, procurement, manufacturing, and customers (Emulation and VI teams.) This person will be expected to be a strong technical contributor, working independently, or overseeing junior engineers as applicable, in all stages from requirements gathering and concept development, to production qualification and support. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Minimum Qualifications: Minimum 2 years"™ experience in System Architecture, Hardware/High-speed Digital/Power Board Design Bachelor"™s Degree in Electrical/Electronics Engineering Preferred Qualifications: Highly skilled hands-on Engineer with 2-8 years"™ experience in the High-speed digital board design, power distribution networks, bring-up and debug skills. At least 2 years designing FPGA-based and/or microcontroller-based systems. Experience with 10Gb/s or higher SERDES board designs is a plus Experience with Signal integrity and Power Integrity simulations is highly desired Familiarity with typical data and control interfaces (Examples include UART, USB, SPI, I2C, Ethernet, SDIO, PCIe, etc.), Experience in designing hardware for data centers or other rack-based systems Designing, testing and bring up of complex and Digital System Design with power devices (such as switching power supplies, LDOs) EDA tools for schematic capture (Dx Designer preferred) Exposure to full development life cycle (Requirements to Production Qualification and Support) and configuration management for managing associated documentation (BOMs, schematics, drawings etc.) Expertise in handling Lab equipment and test & measurement tools like oscilloscopes, multi-meters, signal generators, logic analyzers, spectrum analyzers etc. Must have good communication skills Ability to work effectively with a multi-disciplined team and across sites highly desired FPGA design experience is a strong plus Key Responsibilities: System and architectural design Writing of design specifications (i.e. Requirements, Functional, Architectural, Test, etc) Hardware (Board Level) Design Provide layout constraints and Oversee PCB Layout Design. Interface with Manufacturing Teams during assembly and test of boards Support customers of the boards in debug Partner with customers like validation and SW teams to ensure success of the product

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Qualcomm is a company of inventors that unlocked 5G, ushering in an age of rapid acceleration in connectivity and new possibilities. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform its potential into world-changing technologies and products. Qualcomm GPU is an industry-leading solution which is driving the benchmarks in mobile computing industry and the future of mobile AR/VR. 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. 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. GPU Functional Verification Engineer In the role of GPU Functional Verification Engineer, your project responsibilities will include the following, Develop deep understanding of 3-D Graphics hardware pipeline, feature sets, data paths, block functionalities & interfaces Strategize, brainstorm, and propose a DV environment, develop test bench, own test plan, debug all RTL artefacts, and achieve all signoff matrices 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 UVM based System Verilog TB Knowledge of GPU pipeline design is a plus, not mandatory Proficiency with formal tools "“ working knowledge of Property based FV is a plus, not mandatory Strong communication skills (both written and verbal) Most importantly, ability to learn, improve and deliver The pre-Si verification team in Bangalore is currently heavily involved in the following 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 Formal tools "“ both for reduced time to bug & property based FV sign-off 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 GPU Functional DV ( Clock/Power) Verification Engineer In this role of Graphics Verification Engineer, you will be verifying the Clock and power management module with design features for low power. The responsibilities will majorly include: Understanding of GPU power and clock domains with power-up/down sequences Own end to end DV tasks from coding Test bench and test cases, write assertions, debugging simulations and achieving all coverage goals Develop test plan to verify sequences and design components for Clock and power management modules. Explore innovative DV methodologies (formal and simulation ) to continuously push the quality and efficiency of test benches Successful candidate will be required to collaborate with worldwide design, silicon and architecture teams to achieve all project goals. Hence, we are looking for candidates with strong communication skills. Understanding of GPU power and clock domains with power-up/down sequences Strong System Verilog/UVM based verification skills & experience with assertion & coverage-based verification methodology Experience in formal / static verification methodologies will be a plus Basic understanding of low power design techniques Good understanding of design components such as clock gates, level shifters, isolation cells and state retention cells. Experience with Synopsys NLP (native Low Power) tool. Experience with scripting languages such as Perl, Python is a plus

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 About The Role : Minimum Qualifications Bachelor's degree in Science, Engineering or closely related field Experience with digital design and RTL development, Experience with front end EDA tools such as Synopsys Next Generation tools, Conformal LEC, Synopsys Formality and Synopsys PrimeTime Preferred Qualifications Knowledge and experience of graphics design and development Proficient in Perl, TCL and shell scripting Excellent interpersonal and team skills yet able to work independently and able to problem solve complex, unique and detailed issues Be Familiar with The latest EDA tools for synthesis, formal verification, timing analysis and physical design

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Job Role * Familiar with Physical Design Life cycle of chip development, especially Floorplanning and PnR * Hands on PD execution at block/SoC level along with PPA improvements * Strong understanding of the technology and PD Flow Methodology enablement. * Work with Physical design engineers to rollout robust, identify areas for flow improvement methodologies. (area/power/performance/convergence), develop plans and deploy/support them* Provide tool support and issue debugging services to physical design team engineers across various sites* Develop and maintain 3rd party tool integration and productivity enhancement routines * Understand advance tech PNR and STA concepts and methodologies and work closely with EDA vendors to deploy solutions. Skill Set * Strong programming experience & Proficiency in Python/Tcl/C++ * Understand physical design flows using Innovus/fc/icc2 tools* Knowledge of one of Encounter/Innovus or FC (or other equivalent PNR tool) is mandatory* Basic understanding of Timing/Formal verification/Physical verification/extraction are desired* Ability to ramp-up in new areas, be a good team player and excellent communication skills desired Experience 3-5 years of experience with the Place-and-route and timing closer and power analysis environment is required Niche Skills Handling support tools like Encounter/Innovus/edi/fc/Icc2 (or other equivalent PNR tool). One or more of the above is mandatory*

Senior Backend Engineer You will join a multi-disciplinary team as a back-end developer in a hybrid working setup. We use modern technologies in a microservices architecture. We take a data-driven, experimental, and Agile approach, using neural networks for personalized content, using daily multiplerollouts, A/B testing, and insights-driven feature development. What you'll do: Collaborate with product managers, designers, and other stakeholders to understand project requirements and translate them into technical specifications. Design and implement scalable, reliable, and maintainable software solutions. Write clean, efficient, and well-tested code using industry best practices. Help to improve work in all areas: coding, processes, testing, tools, collaboration. Mentor junior and mid-level developers. Who you are: You have experience in software development in online areas, with a big codebase and a large user base. At least 6+ years of full-time employment on large and distributed systems. You like and breathe Agile development, focus on delivering, and like to take an active role in improving how we work. Core Skills: Experience running large systems written in JVM languages like Java, Kotlin or preferably Scala. Experience in event-driven microservices architecture. Experience with CI/CD pipelines and DevOps practices. Experience running services in cloud environments like AWS or GCP. Experience with relational databases (like MySQL) and NoSQL (like Cassandra). Familiarity with designing REST apis. Familiarity with Agile Methodologies. Bonus Skills: Experience with Kafka, ElasticSearch, RabbitMQ, and Terraform. Familiarity with observability tools. Experience with Node.js. Other Skills: A user-first approach to development, thinking critically about how features will be used in real-world scenarios. Experience communicating proposals, status updates and solutions to colleagues, team members and collaborators. A drive to take an active role in projects, foster collaboration and ensure alignment with other teams. A commitment to learning, staying updated on industry trends, and exploring creative solutions.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: NUVIA is now part of Qualcomm. Our mission is to reimagine silicon and create computing platforms that will transform the industry. You will have the opportunity to work with some of the most talented and passionate engineers in the world to create designs that push the envelope on performance, energy efficiency and scalability. 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 CPU Physical Design CAD engineer, 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 and Responsibilities 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 Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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. QCT is actively seeking candidates for VLSI Methodology and R&D positions. You will be part of the backend methodology team that develops innovative solutions for Qualcomms chip implementation flow. As a digital ASIC R&D Engineer, you will play a vital role in addressing challenges with Performance, Power, and Area (PPA) scaling tradeoffs to qualify technology entitlement of advance process nodes. You will be responsible for research and develop methods to improve efficiency of digital ASIC design flow and chip quality/yield. The job scope includes design automation, post-silicon debug and data mining. Required Skills Coding with Python, Perl, TCL and/or C++ Working knowledge in Digital VLSI implementation (netlist to GDS) STA Power Distribution Network (PDN) Hands on experience with EDA tools (Primetime, ICC2, Innovus, Tempus, etc.) Expected Experience: 2- 10 years of relevant industry experience Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Should have degree in engineering Electronics/Electrical/Mechanical/Computer Science MBA in sales/marketing is an added advantage. Good communication skills. Should have experience in selling software to government accounts- Private accounts Should have an interest to understand the Siemens EDA & PLM solutions. Should have the ability to create demand for the products. Develop and build higher level customer relationships within existing accounts as well as finding new customers through prospecting. Should be familiar with Private accounts in the Bangalore/south India territory

About The Role : Experience in Mixed-Signal layout design, holding bachelors degree To work independently on block levels analog layout design from schematic, estimating the Area, Optimizing Floorplan, Routing and Verifications. Firsthand experience in Critical Analog Layout design of 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 like 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 a must. 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 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. Primary Skills Analog Layout Process or technology experience:TSMC 7nm, 5nm, 10nm,28nm, 45nm,40nm EDA Tools: Layout Editor:Cadence Virtuoso L, XL Physical verification:DRC,LVS,Calibre Secondary Skills IO layout

REQUIRED SKILLS: RTL Design Quality checks, mainly Lint Automation using Python and TCL 5years+ experience, so not an NCG KEY RESPONSIBILITIES: Responsible for the development of complex multi-mode / multi-corner timing constraints that are compatible for RTL and signoff Drive the effort to maintain RTL quality metrics in complex, hierarchical designs and automating that process for improved efficiency. Drive the pre-route timing checks and QoR clean up to eliminate SDC issues and ensure a quality handoff for STA checks Work with CAD on the development of pre-production synthesis (Design Compiler) and STA (Primetime) flows Requires a mix of SDC knowledge, EDA tool competence and Tcl based scripting capability (in both EDA environment and standalone Linux Tcl shell scripts) PREFERRED EXPERIENCE: Worked with EDA tools that enable RTL quality checks Hands on experience in building the timing constraints for IPs, blocks and Full-chip implementation in both flat/hierarchical flows. Experience with analyzing the timing reports and identifying both the design and constraints related issues. Ability to multitask and grasp new flows/tools/ideas Preferred EDA tool experience: Synopsys Design Compiler/Primetime, Spyglass, Fishtail etc. ACADEMIC CREDENTIALS: Bachelor's degree or Masters degree with 5years+ experience.

Staff Engineer Data Analytics (Design Enablement) Job Description : We are looking for a Staff Engineer for Data Analytics role as a part of the Design Enablement team. The responsibilities include working closely with SoC cross-functional teams to develop and define methodologies for data analytics to meet SoC & IP level objectives. Specific skills & knowledge : A degree in Electronics Engineering or a related field 6-10 years of experience in Data Analytics Proficiency in relevant EDA tools like Synopsys, Cadence, and Mentor Graphics and a solid understanding of digital design principles Strong scripting skills for automation and flow development using PERL/TCL/Python GIT : Proficiency in using GIT & experience with GIT repositories such as GitHub, GitLab or Bitbucket Python : Strong knowledge of Python programming & Familiarity with Python libraries & tools for development, testing & debugging Experience in writing clean, efficient & maintainable code Understanding of Python’s standard library & its applications in various domains Web Development : Proficiency in front-end technologies such as HTML, CSS & JavaScript Experience with front-end frameworks like React, Angular or Vue.js Understanding of web development best practices, including responsive design, cross-browser compatibility & performance optimization Excellent communication skills, problem-solving abilities, and attention to detail

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 About The Role : Additional About The Role : 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 Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: 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 pre-Si verification team in Bangalore is currently heavily involved in the following 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 Formal tools- both for reduced time to bug & property based FV sign-off 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 General Summary: Qualcomm is a company of inventors that unlocked 5G, ushering in an age of rapid acceleration in connectivity and new possibilities. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform its potential into world-changing technologies and products. In the role of GPU Functional Verification Engineer , your project responsibilities will include the following, Develop deep understanding of 3-D Graphics hardware pipeline, feature sets, data paths, block functionalities & interfaces Strategize, brainstorm, and propose a DV environment, develop test bench, own test plan, debug all RTL artefacts, and achieve all signoff matrices 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 Strong knowledge of UVM based System Verilog TB, Knowledge of GPU pipeline design is a plus, not mandatory Proficiency with formal tools- working knowledge of Property based FV is a plus, not mandatory Strong communication skills (both written and verbal) Most importantly, ability to learn faster, improve, deliver and well-coordination with all the stakeholders Experience Minimum 8 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 Requirements BE/ME/M.Sc. in Electrical, Electronics, VLSI, Microelectronics, or equivalent courses from reputed universities 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 pre-Si verification team in Bangalore is currently heavily involved in the following SV-UVM 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 Formal tools- both for reduced time to bug & property based FV sign-off 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 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. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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. Exciting opportunity to work on Digital Flows/Methodologies architecture and development in energetic multi-site CAD team at Qualcomm.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 with Eng IT 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 tools Xcelium/VCS/vManager/Indago/Verdi or 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 Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. KEY RESPONSIBILITIES: Define and develop DFT feature verification requirements and test plans for current and next generation products Build comprehensive validation infrastructure including test bench components, agents, monitors, checkers, scoreboards Construct System Verilog and test sequences for comprehensive feature simulation, evaluate feature coverage and regression health Participate in methodology development to increase verification efficiency and effectiveness. PREFERRED EXPERIENCE: 8+ years of VLSI Design and DFT testability Deep understanding of VLSI DFx strategies (ex. JTAG, BIST, ATPG, Boundary Scan) Excellent scripting skills (ex. Perl, C shell, Python). Proficient in debugging RTL code using simulation tools Proficient in using UVM testbenches and working in Linux and Windows environments Strong experience with Verilog, System Verilog, C, and C++ Working knowledge with EDA simulation tools including Synopsys VCS, Cadence NCSIM, Verdi Experience with UVM, OVM or equivalent Experience with formal verification techniques and industry tools Working knowledge of Unix/Linux OS and debug tools Strong analytical skills and attention to detail Excellent written and verbal communication Strong interpersonal skills and proven leadership Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.