92 Eda Jobs - Page 2

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development Build re-usable code analytical frameworks to address commonly occurring business questions Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges The role will be an approximate 60% IC 40% leading and the ratios can vary basis need and fit Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP) This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product Key Requirements of The Role Advanced degree in an analytical field (eg, Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting Should be proficient in developing production ready code as per best practices Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL Proficient is using NoSQL databases Experience in using GraphDBs like Neo4j a plus Candidate should be able to handle unstructured data with ease Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle Experience in CI/CD deployment is a big plus Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc a big plus Good understanding of programming best practices and building code artifacts for reuse Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development Build re-usable code analytical frameworks to address commonly occurring business questions Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges The role will be an approximate 60% IC 40% leading and the ratios can vary basis need and fit Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer

Deploy and support front-end tools, such as, RTL simulators, low power tools, static RTL checkers such as Lint, CDC/RDC/SDC/DFT, and formal verification. Develop scripts to automate regression and debug flows, and to enable Continuous Integration/Continuous Delivery (CI/CD) Streamline utilization of compute infrastructure using load distribution tools Identify and prioritize needs of internal users and develop capabilities for them Proficiently use scripts to integrate tools, repos and compute infrastructure Configure and maintain project progress Dashboards. Interface with EDA vendors for license and tool installations Deploy tools and methodologies across geographies for global teams working together Location- Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad Education- B.Tech/B.E in Computer Engineering (or allied discipline e.g. Electrical, Electronics) 10+ years of relevant experience in CAD or allied disciplines 4+ years in a CAD role for a several 100 million gate Silicon ASIC project Knowledge and understanding of ASIC flow Proficiency in python, bash, c, Makefiles

We are seeking a skilled and detail-oriented Embedded Hardware Engineer with 23 years of experience in electronics product development. The ideal candidate will have strong expertise in schematic design, PCB layout, component selection, prototyping, and hardware testing. This is a hands-on role, perfect for professionals passionate about building real-world hardware solutions and eager to contribute to diverse R&D projects. Key Responsibilities Design schematics and multi-layer PCB layouts using tools such as Altium Designer, KiCad, Eagle , or similar EDA software. Select appropriate electronic components and prepare detailed Bill of Materials (BOM) . Perform signal integrity and power integrity analysis and design reviews. Prototype circuit boards and lead hardware bring-up, validation, and debugging activities. Conduct functional and stress testing using oscilloscopes, multimeters, logic analyzers, and other test equipment. Collaborate closely with embedded software developers for firmware-hardware integration. Maintain thorough documentation of hardware designs, revisions, testing reports, and development progress. Ensure compliance with industry standards, safety regulations, and manufacturability guidelines. Required Skills & Qualifications Bachelor’s or Master’s degree in Electronics & Communication Engineering, Electrical Engineering , or related discipline. Proven experience in circuit design, PCB development, and hardware testing. Familiarity with microcontrollers such as ESP32, STM32, MSP430 , and embedded system architectures. Proficient in using debugging tools and test equipment. Strong understanding of EMI/EMC principles, signal integrity , and hardware best practices. Ability to work independently as well as collaboratively within a cross-functional team. Excellent problem-solving skills and keen attention to detail. Effective written and verbal communication abilities. Preferred (Not Mandatory) Experience with wireless technologies such as BLE, Wi-Fi, LoRa, Zigbee . Exposure to hardware certification processes like CE, FCC . Experience working with product manufacturing vendors and PCB fabrication houses.

Excellent with Python (scikit-learn, tensorflow, matplotlib, pandas, plotly, numpy) Excellent with Exploratory Data Analysis (EDA), Feature Engineering. Machine learning: Supervised, Unsupervised, Statistical Analysis & Time Series Modeling Deep Learning: LSTM, GRU for sequential data, Variational Autoencoders (VAEs) Generative AI: NLP, Transformers (BERT, GPT), LLM, Fine-tunning LLM, Vector Databases (FAISS, Postgres) Cloud Platform: GCP, Azure, AI Agents,RAG Tools & Frameworks: Hugging Face Transformers, LangChain or LlamaIndex, OpenAI API or similar LLM APIs, Streamlit or Gradio (for prototyping) Soft Skills & Other Requirements: Strong problem-solving and analytical thinking, Ability to communicate technical concepts to non-technical stakeholders, Experience working in cross-functional teams, Familiarity with data privacy and ethical AI practices.

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP)

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Role & responsibilities Conduct relevant statistical tests to validate hypotheses, perform data cleaning, and run relevant statistical tests to validate findings. Perform Exploratory Data Analysis (EDA) to identify patterns, anomalies, and opportunities. Perform data fusion activities by leveraging techniques to merge, reconcile, and analyze information from disparate systems and formats. Identify and employ modern weighing and projection methods to answer key business questions and predict future trends. Support data visualizer with necessary data for real-time data visualization. Collaborate with product and research teams by providing feedback based on analytical findings and maintain daily MIS reports. Preferred candidate profile MSc in Statistics or a related quantitative field. Experience working with app-based data is preferred. Proficiency in Python is a must with exposure to libraries used for numerical and text analysis such as Pandas, Numpy, PySpark, NLTK, SpaCy, Scikit-Learn, Genism, etc. Expertise in MS Excel and dashboard creation to complement BI tools and automate reporting tasks. Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Understanding of the business context to translate data insights into relevant recommendations and feedback for product and research teams. Benefits Competitive salary and benefits package. Opportunity to make significant contributions for a dynamic company. Evening snacks are provided by the company to keep you refreshed towards the end of the day. Walking distance from Chakala metro station, making commuting easy and convenient. At Axis My India, we value discipline and focus. Our team members wear uniforms, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. If you thrive in a structured environment and are committed to excellence, we encourage you to apply.

Join the Ansys Customer Excellence team to support our customers on all the aspects of their real-world engineering simulation projects and integration of Ansys software in their design workflows and grow Ansys business. You will use engineering knowledge to provide technical post-sales support, find solutions to a wide variety of technical challenges and channel customer feedback to improve Ansys products. You will be a part of our positive, dynamic team of enthusiastic and passionate engineers striving to deliver the highest quality solutions to our customers, advancing your knowledge, experience, and your impact on the success of our customers and Ansys. Key Duties and Responsibilities Deploy and exploit the full Ansys Technical Support Toolset to complement your own engineering expertise and knowledge of simulation to assist customers in solving their engineering problems and enabling their usage of Ansys products. The Ansys Technical Support Toolset includes Ansys Innovation Space, AnsysGPT and other Ansys AI-based platforms introduced to assist with identifying and delivering the most relevant answers to customers' problems Ensure customers' ability to get accurate timely answers resulting in high Ansys customers' satisfaction. Ensure high Customer Satisfaction and Customer Success that enable customers' usage/deployment/adoption of Ansys software Develop subject matter expertise and specialization on Ansys simulation products and applications. Share your extensive knowledge and experience by creating & updating content for your Primary Focus Area to ensure the most relevant help and information is available for customers and internal colleagues. Create and execute repeatable workflows for data capture, processing, and deployment for support through the Ansys Technical Support Toolset. Minimum Education/Certification Requirements and Experience Required education and degree type: BS or MS in Electronics and Communication Engineering or related field Required minimum years of professional experience in an engineering software environment: MS+0 ; BS+2 Demonstrated use of relevant Ansys software or knowledge of other commercial CAE, CAD, EDA, PLM software packages Logical problem-solving, strong interpersonal and communication skills, fluent in writing and speaking English Strong organizational and time management skills, possesses a sense of urgency Preferred Qualifications and Skills Preferred education and years of professional experience in an engineering software environment: MS+3, PhD+0 Preferred engineering degree in electronics and/or electromagnetics Ability to travel domestically up to 10% of time At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are ONE Ansys. We operate on three key components: our commitments to stakeholders, our values that guide how we work together, and our actions to deliver results. As ONE Ansys, we are powering innovation that drives human advancement Our Commitments: Amaze with innovative products and solutions Make our customers incredibly successful Act with integrity Ensure employees thrive and shareholders prosper Our Values: Adaptability: Be open, welcome whats next Courage: Be courageous, move forward passionately Generosity: Be generous, share, listen, serve Authenticity: Be you, make us stronger Our Actions: We commit to audacious goals We work seamlessly as a team We demonstrate mastery We deliver outstanding results

• Sales experience in Application or Engineering Software • Knowledge on EDA tools – Siemens EDA / Cadence / Synopsys • Knowledge on MCAD tools – Cero (ProE)/UGNX/Catia/Solid edge/Solid works • Knowledge on CAE Tools – Ansys/Nastran/Adams/Altair

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

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 492,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Global Network: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, every business is a digital business. Digital is changing the way organizations engage with their employees, business partners, customers, and communities how they manufacture and deliver products and services, and how they run their organizations. This is our unique differentiator. We seek people who recognize and understand the impact that digital, and technology have on every industry and every sector, and share our passion to shape unique strategies that allow our clients to succeed in this environment. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Approximately 10,000 consultants are part of this rapidly expanding network, providing specialized and strategic industry and functional consulting expertise from key locations around the world. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit . 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 expertisestrategic, industry, functional, technicalin 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 solvingcomplex business problemsfor 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. Qualification 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 transformationStrong 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 domainsFlexibility to accommodate client travel requirementsPublished Thought leadership Whitepapers, POVs

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

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

• Proficiency in Python and SQL for data extraction, manipulation, and analysis • Exploratory data analysis (EDA), developing, and deploying machine learning models • Expertise in deploying ML models on cloud platforms such as AWS or Azure

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Job Role Work on Logic & Physical aware Synthesis with Low Power, QoR optimization, STA and Netlist Signoff flows. Work on Logic equivalence check and low power check clean up. Work on constraints development by interacting with designers and help in porting constraints from block to top-level. Should be able to handle multiple projects by leading a team of 3 to 5 members and deliver. Should be able to lead implementation flow development effort independently by working closely with design team and EDA vendors. Should be able to drive new tool evaluation, methodology refinement for PPA optimization. Should be sincere, dedicated and willing to take up new challenges. Skill Set Proficiency in Python/Tcl. Familiar with Synthesis & STA tools (Fusion Compiler/Genus, Primetime/Tempus). Fair knowledge in LEC, LP signoff tools. Proficient in VLSI front end design steps- Verilog/VHDL, Synthesis, QoR optimization & Equivalence Checking Familiarity with standard software engineering practices like Version Control, Configuration Management.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Additional Qualcomm Global CAD Organization is looking for DFT/ATPG Methodology development lead to develop DFTCAD methodologies for Qualcomms 5G products in advanced FinFET semiconductor process nodes. In this role, you will be a member of a global technical team working with SOC Design, DFT, Product and Test, and Diagnostics teams, as well as EDA Tool vendors to develop world-class DFT methodology solutions. Key Responsibilities Lead DFT ATPG flow development, integration, and deployment efforts independently, collaborating with DFT teams, EDA vendors Drive new ATPG methodology, new tool evaluation, design DoEs, both within Qualcomm and partnering with EDA vendors. Develop optimized recipes for improving test quality, reducing test cost, DFT cycle time, pattern simulation runtimes. Qualifications/Experience BE/B.Tech, ME/MTech/MS in Electrical/Electronics/Computer science Engineering 4-6 years demonstrated experience in VLSI EDA/CAD methodology development in areas of DFT, Scan/ATPG Skills Required Strong knowledge of DFT domain specifically on Scan, ATPG and ATPG pattern simulations Strong development skills in TCL, Python Good understanding of SOC DFT Flow, ATE Flow and practices. Familiarity with standard software development process, systems including Configuration Management, QA, Release and Support Ability to plan and execute formal projects, deliverables. Ability to work with multiple WW teams in a fast paced and dynamic environment. Must be a team player, ability to multi-task, with attention to details. Keywords : DFT, ATPG, Scan, VLSI Test, Tessent, TetraMAX, TestMAX, MBIST, SMS

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

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Additional Additional Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 6+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 5+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. Preferred Qualifications: 10 years of experience Strong understanding of CAD/EDA tools and methodologies. Strong experience scripting (Python, Perl) in support of design verification Hands on experience with regression systems, CI/CD, Revision Control System (git, perforce) workflow. Strong fundamentals in digital design verification methodologies and EDA tools. Knowledge of SOC architecture Experience with web programming (javascript, etc) and databases. Principal Duties and Responsibilities: Develop and implement advanced CAD flows and methodologies to verify critical high performance and low power CPU designs. Utilize scripting languages (python) to automate CAD/IT processes and increase efficiency. Collaborate with cross-functional teams to ensure successful integration of CAD flows. Stay up-to-date with cutting-edge technology, conduct thorough analysis of CAD tools and make improvements. Work closely with users to troubleshoot and resolve any issues that arise in tools, flows, environment, and infrastructure. Collaborate with external vendors to ensure timely delivery, integration, and deployment of CAD/EDA tools while driving them to improve efficiency and productivity. Define and implement new infrastructure capabilities that can be used to accelerate design and development. Level of Responsibility: Works independently with minimal supervision. Work with chip leads in support of design verification. Collaborate with chip leads to understand the design methodology. high-level requirements, determine other areas to support current or future designs that can benefit from automation and tooling. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions. Tasks do not have defined steps; planning, problem-solving, and pri

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Job Overview In this highly cross functional role, you will be part of the Global Design Enablement team responsible for various aspects of PDK development across Custom, Analog and RF technology nodes. As a member of the CAD team, you will be working closely with Custom, Analog & RF Engineering design community to develop & support customized tools and flows for Schematic & Layout design, Circuit Simulation, IP characterization, Custom/Analog P&R and transistor-level EM/IR flows. You will also have the responsibility to collaborate with our Foundry and EDA partners to deploy best-in class EDA tools and flows in addition to developing in-house productivity & QoR automation solutions for improving overall design methodology. Minimum Qualifications Bachelors or masters in electrical engineering, Computer Science, or related field. 6+ years of industry experience in CAD/EDA or PDK development Knowledge of Virtuoso suite of tools- Schematic, Layout, Analog Design Environment etc. Proficiency in one or more of the programming/scripting languages- , Python, Perl and TCL. Good understanding of CMOS fundamentals and Circuit Design Concepts Strong aptitude for programming and automation Good communication skills and ability to work collaboratively in a team environment Preferred Qualifications Familiarity with SPICE simulation tools (Hspice, SpectreX/APS, AFS/Solido SPICE , PrimeSim SPICE, ADS, GoldenGate etc.) Experience with Electromagnetic tools, like Peakview and EMX, is a plus. Knowledge of FinFet & SOI processes is a plus Educational RequiredBachelor's, Electrical Engineering

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

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

Hi all, We are hiring for the role Data Scientist AI ML Experience: 6 -9 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. Skills Needed: Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection. In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc. Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts. Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack Good to have experience in model deployment to cloud/on-prem. Good Communication & presentation skills. If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793