21 Pipeline Design Jobs

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: 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 Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.

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

As a CPU Processor Verification Engineer , you'll get to work on the systems that are driving the quantum revolution and the AI era. Join an elite team of engineering professionals who enable customers to make better decisions quicker on the most trusted hardware platform in today's market. Your role and responsibilities Lead the unit level pre-silicon functional & performance verification the Instruction Sequencing Unit for our next -generation IBM POWER processor core systems offering. Architect and enhance the existing verification environment for ISU which covers the Issue queues, Register Renaming for Out of Order Execution, Issue instructions to Execution Pipelines, Reordering Buffers for completion of the high performance processor CPU. Develop verification test plan for both functional and performance verification including the estimation for coverage closure. Support higher level core/system simulation environment. Participate in post silicon lab bring-up and validation of the Hardware. Lead , guide ,mentor a team of engineers and represent them at global forums. Thoroughly document verification environment details, providing comprehensive insights for future reference and continuous improvement. Effectively Communicate progress ,potential challenges encountered and milestones achieved to stake holders and team members. Required education Bachelor's Degree Required technical and professional expertise 8 years or more experience in functional verification of processors, demonstrating a deep understanding of Instruction Dispatch verification. Good understanding of computer architecture, including Processor core design specifications, with expertise in verifying Load Store unit of any CPU architecture. Hands on experience of implementing Issue Queues, Register renaming and forwarding, Reordering Buffer and Pipeline flush/exception handling etc. Deep expertise in Out of Order, Super Scalar, Multi-Threaded Core Architecture and ISA Experience with high frequency, instruction pipeline designs At least 1 generation of Processor Core silicon bring up experience In depth understanding of industry microprocessor designs (e.g., x86, ARM, or RISC-V processor designs) Exposure to system-level verification methodologies and techniques, ensuring holistic verification coverage across multiple levels of design Proficiency in C++, Python scripting or similar object oriented programming languages. Preferred technical and professional experience Knowledge of instruction dispatch and Arithmetic units. Knowledge of test generation tools and working with ISA reference model. Experience with translating ISA specifications to testplan. Knowledge of verification principles and coverage. Understanding of Agile development processes. Experience with DevOps design methodologies and tools.

Syensqo is all about chemistry Were not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together This is where our true strength lies In you In your future colleagues and in all your differences And of course, in your ideas to improve lives while preserving our planets beauty for the generations to come We are looking for: A motivated and experienced Data & Integration Senior Data Engineer who thrives on turning complex data challenges into innovative solutions You will lead service ownership for key data technologies, guide the data engineering team, and collaborate across functions to deliver seamless end-to-end data integration, storage, and analytics solutions We count on you to: Develop and maintain service strategies aligned with business objectives and design cost-effective, scalable data services Oversee service delivery to meet quality standards and monitor performance for continuous improvement Collaborate with cross-functional teams and stakeholders to understand needs, deliver solutions, and ensure alignment Provide technical leadership by mentoring data engineers in designing and maintaining scalable data pipelines, storage, and data exposure Identify and implement opportunities for service enhancement, innovation, and improved data quality and security Manage project timelines, resources, and deliverables for data solutions evolution and successful completion Support agile delivery practices in collaboration with product lines, architects, business stakeholders, and external vendors You will bring: Bachelors or Masters degree in Computer Science, Data Engineering, or related field 5+ years of experience as a Data Engineer or in a similar role focusing on data integration, storage, and service ownership Strong technical skills in data pipeline design, cloud data platforms (Azure, GCP), Python, SQL, Talend, and CI/CD pipelines Proven expertise in managing services and mentoring data engineers Experience with JIRA, Confluence, and project management practices Excellent communication and stakeholder management skills Ability to work effectively in multicultural and cross-functional teams You can count on us to: Include you in a once-in-a-lifetime transformation journey shaping the future of advanced materials Provide a dynamic, collaborative environment where your impact is visible and valued Offer autonomy, trust, and growth opportunities in a purpose-driven organization Foster a culture of inclusion, curiosity, and innovation You will benefit from: A competitive salary and comprehensive social benefits Access to the on-site company restaurant 16 weeks or more of maternity/paternity/co-parenting leave, aligned with local regulations A training platform accessible to all employees Free access to language courses (24 languages available) About Us Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity At Syensqo, we seek to promote unity and not uniformity We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience We are here to support you throughout the application journey and want to ensure all candidates are treated equally If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply Show more Show less

Hiring for Pipeline Design Lead at Kalpataru Projects International Ltd- Mumbai Interested candidates can share their resume on nikitha.prabhu@kalpataruprojects.com Education : BE/B Tech (Mechanical/Chemical/Civil) Experience 18 + years of experience in Oil & Gas industry namely pipeline & plant. Summary: Responsible for Pipeline design and engineering function of the Oil and Gas BU. Areas of responsibility: - Develop and lead the design & engineering function of company's Oil and Gas division for in-house works embracing engineering in pre-bid estimation, post-bid engineering. Undertake study of tender document and arrange preparation for pre-bid engineering queries, attend pre-bid meeting, communicate with client on matters related to engineering requiring clarification, amendment, and any other engineering related issues, relevant for bid pricing. Organize, guide, control in freezing of technical parameters and computing quantities of various deliverables, across engineering disciplines, for providing inputs to proposal function for pricing in EPC / LSTK tenders. Outsource pre-bid engineering or part thereof, where absolutely necessary following involvement of intricate design with software not avilable in-house, and / or where tender stipulation requires, for qualification and post award execution, engaging engineering sub-contractor or design engineering consultant (DEC). Obtain approval for outsourcing, both in-principle, (administrative) and for financial implication. Before engaging, check contractual acceptability of the proposed agency where engaged as per condition stipulated in tender document. Monitor works of in-house engineering groups, as also external agency for proper service, timely availability of data for arriving at technically justifiable quanties which will be used for bid pricing. Examine the engineering inputs, both in-house and outsourced, having bearing on bid pricing. Check technical parameters of vendor items for its conformity to tender conditions and reasonableness of vendors price Introduce Value Engineering and monitor design optimisation as applicable After thorough scrutiny of all inputs, certify such quantities & prices and forward the same with supporting details Estimate and certify total engineering cost, pre-bid and post-bid, comprising in-house manhour and design engineering consultants (DEC) fees. Post companys successful bidding, invite quotes for enginering from agencies as applicable, and after checking credentials, capabilities, track records, etc. Draw up detailed programme with DEC, dovetailing activities viz. submission of first cut engineering, incorporation of clientc comments and resubmission until approval, etc., into one function. Arrange engineering meetings between client and DEC. Identify incidence(s) of deviation in engineering input(s) post award, if any. Inform client citing variance from tender stipulation and upon meeting clients assent, collaborate with other functions in extra work & price settlement with client. Initiate and cause the lead engineers of different in-house disciplines. Ensure that the design & engineering delivered by the company meet the QHSE norms, legal requirement, and comply with the codal practices. Coordinate with client (PMC, where applicable), and facilitate expeditious clearence of drawings and documents. Monitor progress of work and make sure that engineering inputs are fed in time for procurement and construction. Provide engineering progress reports on weekly / monthly basis to project planning & monitoring groups under intimation to Project Head. Undertake visits to clients / engineering sub-contractor, vendor as required to monitor performance. Prepare engineering completion report, upon conclusion of contract, containing key areas of activity performed, challenges faced, avoidable problems and vendor appraisal. Address any deviation report to Project Head under intimation to BU Head, Commercial Head and distribute amongst Heads of planning, procurement, construction, finance, QAQC, HSE. Competencies Sound design & engineering knowledge. Result Oriented Collaboration Diligence about deadlines, milestones, quality. Strategic approach, cost control. Presentation & Communication. Analytical thinking & problem solving Skills : Proficient in MS Office applications with Knowledge of SAP

Dear Candidate, Were hiring a CI/CD Engineer to optimize code delivery through reliable automation pipelines. Key Responsibilities: Design and maintain CI/CD workflows. Automate testing, packaging, and deployments. Ensure rollback and artifact traceability. Required Skills & Qualifications: Tools: Jenkins, GitLab CI, ArgoCD. Experience with containers and cloud-native delivery. Familiar with version control and code quality gates. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

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. 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 urrently, 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 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 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 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. 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 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.

DE Architect Objective 1 : Develop and Implement Metadata-Driven Framework for Medallion Architecture Strong in data modeling and pipeline design Experience with metadata driven frameworks and governance practices Strong analytical skills to identify and reduce redundancies Knowledge of Snowflake and Medallion Architecture Objective 2 : Optimize Data Pipeline Performance and Reliability Expertise in data pipeline optimization and performance tuning Experience with Indexing and efficient orchestration techniques Ability to identify and implement cost-saving measures Knowledge of monitoring tools and processes Objective 3 : Enhance data modelling and Reusability Strong Communication and training skills Experience in data modeling and reusable asset creation Able to identify and train Subject matter experts Proficiency in gathering and analyzing Stakeholder Feedback Objective 4 : Strengthen Devops Practices and Documentation Knowledge of version control and release processes Experience of DevOps process and CI/CD pipelines Ability to establish and maintain data asset frameworks Strong Documentation skills Objective 5 : Lead and Develop the Data Engineering Team Leadership and team management skills Experience in conducting performance reviews and skill development plans Ability to establish and lead a center of Excellence(CoE) Proficiency in using tasking and estimation tools like Jira and DevOps

About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. . About the Role: As a Lead Data Engineer, you will serve as the technical anchor for the engineering team, responsible for designing and developing scalable, high-performance data solutions. You will own and drive data architecture that supports both functional and non-functional business needs, ensuring reliability, efficiency, and scalability. Your expertise in big data technologies, distributed systems, and cloud platforms will help shape the engineering roadmap and best practices for data processing, analytics, and real-time data serving. You will play a key role in architecting and optimizing data pipelines using Hadoop, Spark, Scala/Java, and cloud technologies to support enterprise-wide data initiatives. Additionally, experience with API development for serving low-latency data and Customer Data Platforms (CDP) will be a strong plus. Key Responsibilities: Architect and buildscalable, high-performance data pipelinesanddistributed data processing solutionsusingHadoop, Spark, Scala/Java, and cloud platforms (AWS/GCP/Azure). Design and implementreal-time and batch data processing solutions, ensuring data is efficiently processed and made available for analytical and operational use. Develop APIs and data servicesto exposelow-latency, high-throughputdata for downstream applications, enabling real-time decision-making. Optimize and enhancedata models, workflows, and processing frameworksto improve performance, scalability, and cost-efficiency. Drivedata governance, security, and compliancebest practices. Collaborate withdata scientists, product teams, and business stakeholdersto understand requirements and deliverdata-driven solutions. Lead thedesign, implementation, and lifecycle managementof data services and solutions. Stay up to date withemerging technologiesand drive adoption of best practices inbig data engineering, cloud computing, and API development. Providetechnical leadership and mentorshipto engineering teams, promoting best practices indata engineering and API design. About You: 7+ years of experience in data engineering, software development, or distributed systems. Expertise in big data technologiessuch asHadoop, Spark, and distributed processing frameworks. Strong programming skills in Scala and/or Java(Python is a plus). Experience with cloud platforms (AWS, GCP, or Azure)and theirdata ecosystem(e.g., S3, BigQuery, Databricks, EMR, Snowflake, etc.). Proficiency in API developmentusingREST, GraphQL, or gRPCto serve real-time and batch data. Experience with real-time and streaming data architectures(Kafka, Flink, Kinesis, etc.). Strong knowledge ofdata modeling, ETL pipeline design, and performance optimization. Understanding ofdata governance, security, and compliancein large-scale data environments. Experience with Customer Data Platforms (CDP) or customer-centric data processingis a strong plus. Strong problem-solving skills and ability to work incomplex, unstructured environments. Excellent communication and collaboration skills, with experience working incross-functional teams. Why Join Us? Work with cutting-edgebig data, API, and cloud technologiesin a fast-paced, collaborative environment. Influence and shape thefuture of data architecture and real-time data servicesat Target. Solvehigh-impact business problemsusingscalable, low-latency data solutions. Be part of a culture that valuesinnovation, learning, and growth.

Job Requirements The scope of work is to support Engineering Studies that may occur at any phase of the project development or life of an asset. The typical studies scope involves providing technical expertise for onshore and offshore pipeline networks for its complete life cycle from R&D and development studies to detailed design, fabrication, installation, commissioning, integrity, repair and decommissioning: Rigid risers and rigid pipelines, Flexible and non-metallic pipelines, Thermal insulation, liners and composites, Floating and offloading hoses, Umbilicals & dynamic power cables including wind farms, Material, linepipe fabrication, welding and non-destructive testing, etc. Expectations 1. Mechanical/ Pipeline engineer with working experience in Upstream (Offshore_Topside & Onshore) & Downstream (Refining, Petrochemicals & Polymers) Pipeline design. 2. Exposure to Onshore seismic design and horizontal directional drilling, Conventional offshore to ultra deep water 3. Understanding Complex design issues, FE modelling and dynamic analysis for pipelines. 4. Knowledge of the Technology and suppliers qualification, Electrically heated pipelines, Sour service , H2 and CO2 pipelines 5. Exposure on Subsea pipelines, Span limits, Pipeline support design etc. 6. Working knowledge on Pipelines integrity, life extension, monitoring and repairs. 7. Designing and developing pipeline systems for oil and gas transportation. Conducting feasibility studies and cost analysis for pipeline projects. 8. Collaborating with cross-functional teams to ensure compliance with industry standards and regulations. 9. Monitoring pipeline operations and conducting regular inspections to identify and address any issues or maintenance needs. 10. Providing technical support and guidance to field personnel during pipeline construction and maintenance activities. 11. Review and interpret customer technical specifications and industry codes (DNV / ASME BPV Sec VIII) 12. Create and review technical documents (functional design specifications, project design basis, analysis reports etc.) for existing or new technology or applications. Work Experience Software Skills 1. Microsoft Office tools 2. E3D (optional) 3. Solidworks (Optional) 4. AutoCAD Hardware / Domain Knowledge 1. Knowledge of Onshore / Offshore / LNG / pipelines and support structures. 2. Proficient in ASME Sec VIII. 3. Proficient in standards like ASME Sec IX, API 1104, API 17D, DNV GL standards, ISO 24817 etc. Soft Skills / Personality Traits 1. Good Communication skills - Makes clear and convincing oral presentations; listens effectively; clarifies information as needed. 2. Ability to handle discussions / communications independently

We are seeking a skilled and experienced Data Engineer Lead to join our team. The ideal candidate will have expertise in Apache Spark, PySpark, Python , and AWS services (particularly AWS Glue ). You will be responsible for designing, building, and optimizing ETL processes and data workflows in the cloud, specifically on the AWS platform . Your work will focus on leveraging Spark-based frameworks, Python, and AWS services to efficiently process and manage large datasets. Experience Range - 5 to 7 years Key Responsibilities: Spark & PySpark Development : Design and implement scalable data processing pipelines using Apache Spark and PySpark to support large-scale data transformations. ETL Pipeline Development : Build, maintain, and optimize ETL processes for seamless data extraction, transformation, and loading across various data sources and destinations. AWS Glue Integration : Utilize AWS Glue to create, run, and monitor serverless ETL jobs for data transformations and integrations in the cloud. Python Scripting : Develop efficient, reusable Python scripts to support data manipulation, analysis, and transformation within the Spark and Glue environments. Data Pipeline Optimization : Ensure that all data workflows are optimized for performance, scalability , and cost-efficiency on the AWS Cloud platform. Collaboration : Work closely with data analysts , data scientists , and other engineering teams to create reliable data solutions that support business analytics and decision-making . Documentation & Best Practices : Maintain clear documentation of processes, workflows, and code while adhering to best practices in data engineering , cloud architecture , and ETL design . Required Skills: Expertise in Apache Spark and PySpark for large-scale data processing and transformation. Hands-on experience with AWS Glue for building and managing ETL workflows in the cloud. Strong programming skills in Python , with experience in data manipulation, automation, and integration with Spark and Glue. In-depth knowledge of ETL principles and data pipeline design, including optimization techniques. Proficiency in working with AWS services , such as S3 , Glue , Lambda , and Redshift . Strong skills in writing optimized SQL queries , with a focus on performance tuning. Ability to translate complex business requirements into practical technical solutions . Familiarity with Apache Airflow for orchestrating data workflows. Knowledge of data warehousing concepts and cloud-native analytics tools. Required Skills Aws Glue,Pyspark,Python.

Assist in the preparation of pipeline alignment sheets and other design documents under the supervision of senior draftsmen. Support the creation of typical drawings, road/ existing pipeline/existing cable crossing details, and route survey drawings. Assist in the preparation of Horizontal Directional Drilling (HDD) drawings and other basic design documentation. Help with the preparation of pipeline route maps, topographical survey drawings, and field layouts. Generate basic drawings using AutoCAD and assist with site activities and construction-related drawings. Learn and apply pipeline design standards and codes (ASME B31.4, B31.8, B31.3) under guidance.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: 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 Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: n 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 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 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: 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: 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 triage. 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. Additional About The Role : 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 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 Attachments 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: 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 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. 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 Experience Minimum 3 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 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

Design and develop fire protection systems,including sprinkler systems,fire alarms,fire suppression systems,and smoke control systems,based on project requirements Perform fire protection system hydraulic calculations Conduct site assessments

Company: EPC Company Job Location: Kolkata Salary: 30,000 to 60,000/ Month (CTC- 4 to 8 Lacs/ Annum) Skills:- 1) Proficiency in AutoCAD, SolidWorks 2) Understanding of mechanical systems, piping layouts, HVAC systems and machinery Required Candidate profile Experience: Min. 4 to 5 Years experience as Mechanical Draftsman in WTP/ STP Project/ Pipeline Draftsman Qualification: Diploma Mechanical CONTACT INFO:-- Namrata- 8910291069 Arijit- 9748042221

Job Title :.NET Azure Lead Location : Trivandrum Key Responsibilities: Lead and develop backend applications using .NET technologies, including full development lifecycle and post-live support. Collaborate with product teams to understand requirements, providing technical solutions and estimations. Work with Agile methodologies, participating in iterative delivery and daily stand-ups. Contribute to pipeline design and enhancements, ensuring a smooth release cadence. Ensure high-quality code through rigorous unit and integration testing. Mentor and coach junior engineers, fostering a collaborative and growth-oriented environment. Must-Have Skills: Experience : Minimum of 8 years in .NET development, including full development lifecycle and post-live support. Agile Delivery : Extensive experience in delivering software using Agile methodologies. Familiarity with JIRA is preferred. Technical Understanding : Strong ability to understand requirement/story scope and translate that into technical solutions. Problem-Solving : Ability to articulate complex technical issues and solutions in an easy-to-understand manner. Backend Development : Extensive experience with .NET backend API development. CI/CD & Infrastructure as Code : Significant experience in pipeline design, build, and enhancement. Familiarity with Infrastructure as Code tools (preferably Terraform). Unit & Integration Testing : Excellent understanding of unit and integration testing techniques. Cloud Technologies : Strong knowledge of Azure services (Web/Container Apps, Azure Functions, SQL Server). Containers : Experience with Kubernetes and Docker. Version Control : Proficient in using source control systems (preferably Git). API Design : Solid understanding of RESTful services, JSON, and API design. Cloud Infrastructure : Broad knowledge of Cloud infrastructure (PaaS, DBaaS). Mentorship : Experience in mentoring and coaching engineers in a co-located environment. Good-to-Have Skills: UI Frameworks : Experience with JavaScript UI frameworks, ideally Vue.js. Cross-Browser Compatibility : Strong understanding of HTML, CSS, and cross-browser compatibility and performance optimization. Preferred Experience: Familiarity with Agile tools like JIRA and experience working in a fast-paced, collaborative team environment. Required Skills .Net,Sql Azure,Rest Api,Vue.Js