USE Cases Jobs in Hyderabad

Staff Engineer PC Gaming Middleware Development Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited Job Overview Qualcomm s in-house Game Studio is looking for a talented and experienced Staff Engineer to lead development efforts in PC gaming middleware on Snapdragon-powered devices. This role is a unique opportunity to work with pre-commercial hardware and shape the future of gaming on always-on, always-connected Snapdragon PCs. As a Staff Engineer, you ll contribute to developing and porting game middleware to open-source and proprietary game engines. You ll also play a critical role in optimizing CPU, GPU, and system-level performance for gaming workloads on Windows. Key Responsibilities Develop and port gaming middleware for both open-source and proprietary game engines. Optimize performance across CPU, GPU, and overall system for gaming use cases on Windows Snapdragon devices. Collaborate with game engine and hardware teams to showcase gaming capabilities on Snapdragon platforms. Work on modern rendering algorithms and improve game engine pipelines. Contribute to toolchain and workflow development for content creation and performance profiling. Minimum Qualifications 5+ years of professional software development experience. Strong proficiency in C++ and solid understanding of its specifications. Experience in Windows game development and performance optimization. Solid foundation in 3D graphics and mathematics. Understanding of modern PC and console rendering pipelines. Strong written and verbal communication skills. Self-driven and passionate about gaming technology. Preferred Qualifications Experience with Unreal Engine or other open-source engines. Background in tools development is a plus. Familiarity with profilers and debuggers such as RenderDoc, Intel VTune, etc. Experience working with large-scale, multi-million-line codebases. Knowledge of multithreaded programming paradigms. Educational Requirements Bachelor s degree in Computer Science, Engineering, Information Systems, or a related field and 4+ years of software development experience. OR Master s degree and 3+ years of relevant experience. OR PhD and 2+ years of relevant experience. Programming language experience: Minimum 2 years with C, C++, Java, Python, or similar languages. About Qualcomm Qualcomm is a global leader in wireless technology and chipset innovation, powering cutting-edge devices from mobile phones to AR/VR, automotive, and next-gen PCs. Our Game Studio is a hub of gaming innovation, comprised of veteran developers, artists, and engineers dedicated to redefining the future of gaming across platforms. Join us to work on breakthrough gaming experiences that will power the next generation of Snapdragon-powered PCs. Qualification : Educational Requirements Bachelors degree in Computer Science, Engineering, Information Systems, or a related field and 4+ years of software development experience. OR Masters degree and 3+ years of relevant experience. OR PhD and 2+ years of relevant experience. Programming language experience: Minimum 2 years with C, C++, Java, Python, or similar languages.

Senior AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role The Microsoft 365 Copilot India team is seeking high-caliber Senior Software Engineers to join a strategic initiative building next-generation AI-powered experiences for Microsoft 365 on Windows. Microsoft 365 Copilot is the flagship commercial AI Copilot solution, impacting millions of users globally across platforms (Windows, Mac, Web, Android, and iOS). As a Senior AI + Windows Engineer, you ll help shape key components of the Windows Copilot App, working in a fast-paced and impactful engineering environment with high visibility across the company. Key Responsibilities Collaborate with stakeholders to determine requirements and use cases for Windows-based AI features. Design, implement, and optimize high-performance, maintainable, and scalable code using C/C++ or C#. Participate in all phases of the SDLC design, coding, testing, debugging, and deployment. Develop and execute automation and test plans while providing accurate task estimates. Act as a Designated Responsible Individual (DRI) for system health monitor, respond to outages, and ensure high availability. Mentor junior engineers and support cross-team technical collaboration. Stay current with emerging trends and patterns in AI, distributed systems, and platform performance optimization. Required Qualifications Bachelor s degree in Computer Science or related technical field AND 4+ years of professional software engineering experience. Proficiency in at least one of the following: C, C++, C#, Java, JavaScript, Python. Strong software design, problem-solving, and debugging skills. Ability to rapidly grasp new technologies and systems. Effective communication and collaboration skills across engineering and product teams. Preferred Qualifications Deep experience with Windows platform development. Strong hands-on expertise in C/C++ for native Windows applications. Customer-first mindset and passion for crafting seamless user experiences. Experience with large-scale commercial software products or distributed systems is a plus. Be a part of a team building transformative AI solutions used by hundreds of millions of users. Microsoft fosters a collaborative, inclusive culture and invests in your learning, growth, and well-being. Employee Benefits Industry-leading healthcare coverage Generous time-off and leave policies Access to learning and development resources Employee discounts and savings programs Parental leave and family support benefits Global networking opportunities and giving programs Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, national origin, physical or mental disability, political affiliation, race, religion, sex, sexual orientation, or any other characteristic protected by applicable laws. Qualification : Bachelors degree in Computer Science or related technical field AND 4+ years of professional software engineering experience.

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Title: Senior Software Engineer Experience: 4-7 Years Skills: Strong C#, VB.NET, RPA (UiPath, Automation Anywhere, or Blue Prism) Location: Hyderabad Description & Requirements: Infor LN is an advanced Enterprise Resource Planning (ERP) software which is explicitly designed to cater to the business needs of the manufacturers. It facilitates quick and cost-effective integration across various supply chains. Requirement: Proficiency in .NET programming languages (C#, VB.NET) and frameworks. Knowledge of any RPA tools such as UiPath, Automation Anywhere, or Blue Prism. Essential Duties: Implement, configure, and deploy Infor s automation solutions. Ensure best practices are followed in delivering quality solutions to customers. Design and develop customizations, integrations, and workflows by applying product knowledge and leveraging Infor OS platform. Collaborate with customers, project stakeholders, and product development to resolve technical issues and limitations encountered in the product, environment, and/or custom solutions developed. Provide timely and high-quality specifications, estimates, development, and testing of integrations to support implementation projects. Offer technical input to Business Consultants/System Architects in designing and specifying integrations. Enable / mentor less experienced colleagues. Stay updated with new Infor technologies and best practices to support customers. Provide support to the Infor support organization in the integration sphere when required. Broaden knowledge into other technical areas such as Extensibility and Mongoose. Carry out coding in line with Infor standards. Identify and develop innovative automation use cases. Develop POC s to validate proposed solutions. Contribute to Infor s enterprise automation and cloud innovation efforts. Basic Qualifications: Minimum 4 years of experience in ERP solutions. Ability to lead technical or functional workstreams on projects with high levels of complexity. Proven track record of working with global customers on large RPA projects. Ability to engage with customers and understand their requirements. Strong understanding of ERP / enterprise applications, business processes and automation. Experience working in software product companies. Excellent communication and problem-solving skills. Ability to work independently and collaboratively. Bachelor s or master s degree in computer science or related field. Preferred Qualifications: Prior experience in Infor Cloud Suites, Infor OS, RPA or AI would be an advantage. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. Qualification : Bachelors or masters degree in computer science or related field.

Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

Job Summary We are seeking a skilled and experienced Cybersecurity Detection and Implementation Engineer with expertise in YARA rules creation, playbook implementation, and data ingestion techniques. This role presents an exciting opportunity to contribute to the design and implementation of cutting-edge cybersecurity solutions while collaborating with a talented team of professionals. Responsibilities Design, develop, and maintain YARA rules for threat detection and malware analysis, ensuring high accuracy and effectiveness. Conduct research and analysis to identify emerging threats and vulnerabilities and develop proactive detection mechanisms. Identify and implement detection use cases based on emerging threats and TTPs using MITRE ATT&CK framework. Contribute to optimization of detection rules to eliminate false positives and improve detection efficiency. Collaborate with cross-functional teams to understand customer requirements and customize cybersecurity solutions to meet their needs. Participate in security incident response activities, providing technical expertise and support as needed. Stay abreast of the latest cybersecurity trends, technologies, and best practices, and share knowledge with the team. Work closely with customers to understand their security challenges and requirements and provide expert guidance and support. Qualifications Bachelor s degree in computer science, Information Security, or related field. 3 years of experience in cybersecurity, with a focus on detection engineering and implementation. Proficiency in creating and maintaining YARA rules for threat detection and malware analysis. Solid understanding of MITRE ATT&CK framework and developing detection rules based on it. Solid understanding of data ingestion techniques and technologies, including log management systems and data lakes. Knowledge and experience in developing use cases for Cloud, Identity, Endpoint and Data Exfiltration use cases. Hands-on experience with SIEM (Security Information and Event Management) solutions such as Splunk, ELK, or QRadar. Excellent analytical and problem-solving skills, with the ability to troubleshoot complex technical issues. Strong communication and interpersonal skills, with the ability to effectively collaborate with internal teams and customers. Relevant cybersecurity certifications (e.g., CISSP, CEH, GIAC) are a plus. If you are a passionate and driven cybersecurity professional with expertise in writing detection rules and is enthusiastic about emerging threats and protecting customers, we want to hear from you. Join us in our mission to protect our organization and our customers from cyber threats. Qualification : Bachelors degree in computer science, Information Security, or related field.

Job Title: Senior Software Engineer Location: Hyderabad Experience: 4-7 Years Skills: Strong C#, VB.NET, RPA (UiPath, Automation Anywhere, or Blue Prism) Description & Requirements: Infor LN is an advanced Enterprise Resource Planning (ERP) software designed to meet the business needs of manufacturers, enabling quick and cost-effective integration across various supply chains. Position Overview: We are seeking a Senior Software Engineer with proficiency in .NET programming languages (C#, VB.NET) and experience with Robotic Process Automation (RPA) tools such as UiPath, Automation Anywhere, or Blue Prism. This position will be responsible for implementing, configuring, and deploying Infor's automation solutions while collaborating with various stakeholders to resolve technical challenges. Essential Duties: Implement, configure, and deploy Infor s automation solutions. Ensure best practices are followed to deliver high-quality solutions to customers. Design and develop customizations, integrations, and workflows using Infor OS platform. Collaborate with customers, stakeholders, and development teams to resolve technical issues. Provide timely specifications, estimates, and development for integration support. Offer technical guidance to Business Consultants and System Architects. Mentor less experienced colleagues and provide support to the Infor support team. Stay updated with new Infor technologies, automation, and cloud innovations. Contribute to the development of innovative automation use cases and POCs. Carry out coding in line with Infor standards. Basic Qualifications: Minimum of 4 years of experience in ERP solutions. Proven experience in leading technical or functional workstreams on complex projects. Experience working with global customers on large RPA projects. Strong understanding of ERP applications, business processes, and automation. Excellent communication and problem-solving skills. Ability to work independently and in collaboration with teams. Bachelor s or Master s degree in Computer Science or a related field. Preferred Qualifications: Prior experience in Infor Cloud Suites, Infor OS, RPA, or AI technologies. About Infor: Infor is a global leader in business cloud software products, offering complete industry suites that prioritize user experience, leverage data science, and integrate seamlessly into existing systems. Over 60,000 organizations worldwide rely on Infor to overcome market disruptions and drive business-wide digital transformation. For more information, visit www.infor.com. Our Values: At Infor, we focus on a business philosophy called Principle Based Management (PBM ), built on principles like integrity, transformation, respect, and self-actualization. We aim to reflect diversity in our workforce to represent the markets, customers, partners, and communities we serve. Equal Opportunity Employer: Infor is committed to creating a diverse and inclusive work environment. We do not discriminate against candidates or employees based on sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. Qualification : Bachelors or Masters degree in Computer Science or a related field.

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

Location: Wherever innovation calls currently Pune, India Company: Wipro Limited Where Transformation Meets Imagination The Bridge Builder: Business Analyst Edition Welcome to Wipro, a place where technology bends to imagination, and solutions aren t just delivered they re crafted with purpose. We re assembling a team of curious minds who love to decode customer wishes, translate them into technical magic, and bring dreams to life. Enter: The Business Analyst, aka The Professional Mind Reader, aka The Human API between our clients and tech wizards. Your Mission: Decode, Design, Deliver Phase 1: Speak the Language of Customers Your first superpower? Understanding what customers mean not just what they say. Meet clients, listen intently, and capture every functional, non-functional, and maybe-even-impossible requirement they throw your way. Dive deep into their RFIs and RFPs like you re solving a treasure map. Sketch out workflow charts, diagrams, and system capabilities you turn chaos into clarity. Gather the right squad internally (project managers, presales gurus, tech architects), and cook up the perfect response to every client ask. Be the voice of reality if a request impacts cost or timeline, you re the first to raise the flag. Present prototypes, show off solutions, and become your client s trusted advisor not just a note-taker. Phase 2: Speak the Language of Delivery Superpower number two? Translating customer dreams into technical reality. Keep the delivery team tuned into every whisper of customer feedback. Review test cases to make sure every client wish made it into the final bake. Run root cause analyses if things go sideways and suggest fixes like a pro. Be the guardian of change requests you re the one making sure new ideas make it to the blueprint. Support QA teams, join hands for UAT demos, and make sure every test is a triumph. Help stitch the final solution together before the grand reveal. And once the project kicks off, stay close guiding the delivery ship to safe harbor. Phase 3: Spread the Knowledge Superpower number three? Turning your smarts into sharable gold. Connect with fellow BAs to swap secrets, tools, and tricks of the trade. Write whitepapers, pen down POVs, and sprinkle your expertise into every corner of Wipro s knowledge galaxy. Build a library of use cases and reusable assets, so no one has to start from scratch. Research industry trends because a wise analyst knows the future before it knocks. Your Scorecard (How We ll Know You re a Legend) This isn t just a job post. It s a call to reinvent yourself. At Wipro, we re rewriting the rules of work, one bold reinvention at a time. If you love connecting the dots between business needs and technical brilliance, this is where you belong. Reinvent your world and ours. Join Wipro. Bring your best ideas. Shape the future. (PS: We explicitly welcome applications from people with disabilities everyone belongs here.)

Role Overview: We are looking for an experienced Senior Python Engineer with expertise in FastAPI and microservices architecture to join our dynamic team. In this role, you will lead the design, development, and deployment of scalable and resilient backend services. The ideal candidate will have a strong technical background in Python development, microservices architecture, and FastAPI, along with proven experience leading technical teams and ensuring high performance, security, and maintainability of applications. Key Responsibilities: Lead the design, development, and deployment of microservice-based applications, ensuring scalability and resilience. Develop and maintain FastAPI-based backend services with a focus on performance, security, and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, and API gateways. Ensure code quality, security, and performance optimization across the application stack. Work with containerization technologies like Docker and Kubernetes for seamless application deployment. Collaborate with cross-functional teams to define, design, and ship new features effectively and efficiently. Establish and manage CI/CD pipelines for seamless and automated application deployment. Implement best practices for API design, development, and security to ensure robust and reliable services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for proactive issue detection and resolution. Ensure adherence to version control systems (e.g., Git) and support collaborative workflows across teams. Qualifications: Proven experience in leading technical teams and developing scalable applications using microservices architecture. Proficiency in Python and FastAPI for building high-performance backend services. In-depth knowledge of Pydantic for data validation in FastAPI applications. Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) for managing deployment and scalability. Familiarity with CI/CD pipelines and automation tools to streamline application development. Strong expertise in API design and implementation best practices. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interactions with LLMs. Exposure to various prompt engineering techniques in different scenarios. At Blend, we are driven by the belief that AI and human expertise can combine to create meaningful, lasting impact. By joining our team, you ll have the opportunity to work on cutting-edge technologies, collaborate with brilliant minds, and contribute to innovative projects that shape the future.

Role Overview: We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will possess a strong technical background, proven leadership experience, and expertise in building scalable, resilient, and secure applications. In this role, you will lead the design, development, and deployment of backend services, collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities: Lead design and development of applications using microservice architecture to ensure scalability, resilience, and high performance. Develop and maintain FastAPI-based backend services, optimizing for scalability and reliability. Implement best practices for logging, monitoring, health checks, and error handling to ensure robust service performance. Optimize code quality, security, and performance across the development lifecycle. Utilize containerization technologies (e.g., Docker, Kubernetes) for efficient application deployment and management. Collaborate with cross-functional teams to define, design, and implement new features that align with business objectives. Establish and manage CI/CD pipelines to automate deployment and ensure consistent, efficient delivery of software. Adhere to API design and development best practices, ensuring high-quality and secure services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for performance tracking and proactive issue resolution. Ensure adherence to version control systems (e.g., Git) and best practices in collaborative workflows. Qualifications: Proven experience in leading technical teams and developing applications using microservice architecture. Proficiency in Python and FastAPI for building robust and scalable backend services. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization technologies such as Docker and Kubernetes for efficient application deployment. Familiarity with CI/CD pipelines and automation tools to streamline the development and deployment process. Strong knowledge of API design and implementation best practices, ensuring high-quality and secure integrations. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications to ensure data integrity and confidentiality. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases in AI-driven applications. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interaction with LLMs. Exposure to various prompt engineering techniques in different AI scenarios. At Blend, we believe in the transformative power of AI, combined with human expertise, to create meaningful impacts. Join our team and contribute to cutting-edge technology projects that shape the future of AI and innovation. Enjoy a culture that fosters collaboration, growth, and creativity while working alongside some of the brightest minds in the industry.

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!

The Test & Device Automation team is responsible for developing automation tools for various domains, including Mobile, MDM, Compute, Automotive, XR, and VR. These tools operate on both host systems and devices, enabling automated testing and optimization of Qualcomm Snapdragon platforms. The engineer will participate in design discussions, analyze system requirements, sustain software interfaces, and develop tools to support emerging technologies. Key responsibilities include integrating new features from Android, Windows, XR, and Automotive platforms into automation tools. Key Responsibilities: 1. Tool Development: Create and optimize automation test tools for multiple platforms (Android, Windows, XR, Auto, MDM). Design and develop software interfaces for Qualcomm Snapdragon platforms. 2. Feature Integration: Monitor upcoming API and feature changes in Android and other platforms. Incorporate updates into automation tools to maintain compatibility with new technologies. 3. Problem-Solving & Risk Analysis: Identify end-to-end use cases and risks for integrating new technologies. Address software impacts and incorporate improvements into the tools. Minimum Qualifications: Education: Required: Bachelor s degree in Engineering, Computer Science, or related field with 3+ years of relevant experience. Master s degree with 2+ years of relevant experience. PhD with 1+ year of relevant experience. Experience: Technical Skills: Strong proficiency in C#, C++, Python, and Android programming. Solid understanding of Data Structures and their applications. Proven experience in software test engineering and automation tools development. Familiarity with Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools. Other Skills: Analytical and problem-solving abilities. Effective planning, time management, and decision-making skills. Excellent communication and teamwork skills. Preferred Skills: Insight into Android/Windows platforms and their architectures. Experience working in large organizations. Familiarity with XR, VR, and Automotive platforms. Work Environment & Accessibility: Qualcomm is an Equal Opportunity Employer, committed to providing accessibility accommodations during the hiring process for individuals with disabilities. Qualification : Bachelors degree in Engineering, Computer Science, or related field with 3+ years of relevant experience.

Job Title: Senior Delivery Manager Company: Kanerika Inc. Job Location: Hyderabad, India Reports to: Co-founder; Head of Delivery About Kanerika Kanerika Inc. is a premier global software products and services firm specializing in innovative solutions for data-driven enterprises. Co-founded by Wharton Business School Alumni, we empower businesses to achieve their digital transformation goals and maximize business impact through effective data utilization. We leverage cutting-edge technologies and industry best practices to deliver custom solutions that optimize operations, enhance customer experiences, and drive growth. Awards and Recognitions: Best Place to Work 2022 by Great Place to Work Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today Frost & Sullivan India 2021 Technology Innovation Award for its Compass composable solution architecture Recognized for commitment to customer privacy and data security, with ISO 27701, SOC2, and GDPR compliances. Working for Us: Kanerika is rated 4.5/5 on Glassdoor for many good reasons. We truly value our employees' growth, well-being, and diversity. We offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. Our inclusive hiring practices, mandatory training on creating a safe work environment, flexible working hours, and generous parental leave prioritize employee well-being and success. Our commitment to professional development is evident through mentorship programs, job training initiatives, and support for professional certifications. Company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. Role Kanerika is seeking a highly skilled and motivated Senior Delivery Manager to join our dynamic team. Reporting directly to the Co-founder & Head of Delivery, you will be responsible for project deliveries across multiple domains and customers. You will provide hands-on expertise in the full software development lifecycle, from concept and design to testing, using agile methodology. Ideal candidates are proactive, have successfully managed customers and software deliveries, are go-getters, and are motivated to add value to job accomplishments. Locations: Austin (USA), Singapore, Gurugram (India), Ahmedabad (India), and Hyderabad (India). We are looking for you! As an ideal candidate for the Senior Delivery Manager position, you are a team player with a get-it-done attitude. Your intellectual curiosity and customer focus drive you to continuously seek new ways to add value. You thrive under pressure, maintain a positive attitude, and are willing to make choices that support your growth. You possess excellent communication skills, both written and verbal, and have a proven ability to create visually compelling designs that effectively communicate our core values and build high-performing, scalable, enterprise-grade applications & teams. Your creativity and proactive nature enable you to think differently, find innovative solutions, deliver high-quality results, and ensure customer referenceability. You have a strong sense of self-motivation and take ownership of your responsibilities, preferring to work independently with minimal supervision. You are process-oriented, have a methodical approach, and demonstrate a quality-first approach. You have successfully led mid to large-size teams and accounts. You consistently use constructive feedback mechanisms to improve team productivity, accountability, and performance. Your track record showcases your results-driven approach, consistently delivering success with published customer case studies. Overall, you possess a unique combination of skills, qualities, and experiences that make you an ideal fit to lead our delivery team(s). You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together. You should be driving a team using data, data & data. This includes managing the number of teams, agile stories and their statuses, handling escalations/mitigations, planning ahead, identifying hiring needs (working with recruitment teams), enabling sales (with pre-sales teams), monitoring solutioning/delivery statuses (with dev managers/leads), and researching technologies/solutions (with architects). What you will do Manage project teams working on multiple technologies across data integration, automation, and analytics. Be the technology champion for customers and the single point of contact for delivery and accounts. Provide significant contribution to developing Technology Center of Excellence (COE) and best practices. Leverage business acumen and subject matter expertise. Work across the organization and maintain/build strong working relationships. Prioritize and plan complex tasks, delivering with consistent updates without follow-ups. Participate in management meetings and present high-level achievements, challenges, and roadmaps. Articulate well for growth and mitigate customer escalations. Work with project teams to implement best development practices and pay attention to details on design, technologies, and pitfalls. Ensure quality and transparency are built at every level. Mentor, direct, and coach your direct reports to be better leaders and successful technologists. Implement organizational policies consistently across your teams and identify star performers. Proactively communicate for every aspect of your influence (i.e., Projects, employees, customers, opportunities, performers, etc.). Collaborate with and contribute to other functions for the success of the company. Implement and improvise processes that are data and goal driven. Requirements Wh...

Job Title: Data Governance Architect Job Location: Hyderabad Job Description As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include: What You Will Do: Strategy, Framework, and Governance Operating Model Develop and maintain enterprise-wide data governance strategies, standards, and policies. Align governance practices with business goals like regulatory compliance and analytics readiness. Define roles and responsibilities within the governance operating model. Drive governance maturity assessments and lead change management initiatives. Stakeholder Alignment & Organizational Enablement Collaborate across IT, legal, business, and compliance teams to align governance priorities. Define stewardship models and create enablement, training, and communication programs. Conduct onboarding sessions and workshops to promote governance awareness. Architecture Design for Data Governance Platforms Design scalable and modular data governance architecture. Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica. Ensure integration with metadata, privacy, quality, and policy systems. Microsoft Purview Solution Architecture Lead end-to-end implementation and management of Microsoft Purview. Configure RBAC, collections, metadata scanning, business glossary, and classification rules. Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards. Metadata, Lineage & Glossary Management Architect metadata repositories and ingestion workflows. Ensure end-to-end lineage (ADF Synapse Power BI). Define governance over business glossary and approval workflows. Data Classification, Access & Policy Management Define and enforce rules for data classification, access, retention, and sharing. Align with GDPR, HIPAA, CCPA, SOX regulations. Use Microsoft Purview and MIP for policy enforcement automation. Data Quality Governance Define KPIs, validation rules, and remediation workflows for enterprise data quality. Design scalable quality frameworks integrated into data pipelines. Compliance, Risk, and Audit Oversight Identify risks and define standards for compliance reporting and audits. Configure usage analytics, alerts, and dashboards for policy enforcement. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs. Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms. Requirements 15+ years in data governance and management. Expertise in Microsoft Purview, Informatica, and related platforms. Experience leading end-to-end governance initiatives. Strong understanding of metadata, lineage, policy management, and compliance regulations. Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture. Familiar with Agile methodologies and stakeholder communication. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Job Title: Business Analyst Job Category: IT Job Type: Full Time Experience: 5+ Years Location: Hyderabad (Onsite) Job Overview We are looking for a motivated and detail-oriented Business Analyst to join our team. You will play a key role in gathering and analyzing requirements, coordinating with stakeholders, and ensuring project delivery in line with agile methodologies. Your ability to communicate clearly and manage project documentation will be critical for the success of our software development initiatives. Key Responsibilities Requirement Analysis & Documentation Gather and analyze business requirements from stakeholders, users, and customers. Prepare clear and comprehensive Business Requirement Documents (BRD) and Functional Specification Documents (FSD). Project Planning & Execution Define project scope and objectives, ensuring technical feasibility. Develop detailed project plans and track delivery timelines within scope and budget. Participate actively in sprint planning, daily stand-ups, demos, and retrospectives. Stakeholder Communication Maintain proactive communication with stakeholders, internal teams, and clients. Document customer feedback and manage expectations throughout the project lifecycle. Product Design & Development Support Design solution prototypes and UI mockups adhering to company standards. Prioritize features, enhancements, and bug fixes based on business impact. Market & Product Research Conduct research to identify market trends and improvement opportunities. Present actionable insights and innovation strategies to stakeholders. Training & Support Lead knowledge-sharing sessions and onboarding for new and junior team members. Identify customer issues and suggest practical solutions or workarounds. Required Qualifications MBA or Engineering degree in Computer Science or related field. Proven experience in business analysis within a software development environment. Strong understanding of Agile and Scrum methodologies. Excellent verbal and written communication skills. Ability to organize and manage multiple tasks with strong attention to detail. Preferred Qualifications PMP or Scrum Certification. Experience with requirement management tools and platforms. Exposure to client-facing roles and enterprise software solutions.

General Summary: This role focuses on camera end-to-end use case design and feature implementation with a systems-level understanding of the camera processing pipeline. The engineer will work with advanced technologies in Android, Linux, and camera systems, contributing to Qualcomm s innovations in imaging and camera features. The role demands collaboration with internal test teams and external teams, strong ownership of tasks, and a willingness to learn and adapt to emerging technologies. Key Responsibilities: 1. Feature Design & Implementation: Design and implement camera use cases and features. Develop and optimize the camera processing pipeline. 2. Android Frameworks & System-Level Debugging: Work with Android Frameworks, HAL (Hardware Abstraction Layer), and ISPs (Image Signal Processors). Debug system-level issues in test embedded systems. 3. Collaboration & Communication: Work closely with internal test teams and external stakeholders. Communicate effectively to triage and resolve issues. 4. Code Development & Optimization: Develop efficient solutions using C, C++, and Java. Apply strong fundamentals in data structures, algorithms, and system design. Minimum Qualifications: Education: Required: Bachelor s degree in Engineering, Computer Science, Information Systems, or a related field. Experience: Technical Skills: Proficiency in C, C++, and Java. Strong fundamentals in data structures, algorithms, and trees. Expertise in Android Frameworks, HAL, Linux, and camera features. Experience with Image Signal Processors (ISPs) and debugging tools. Soft Skills: Detail-oriented and analytical. Strong communication and teamwork abilities. Ownership of tasks with a proactive attitude. Experience Range: 2-6 years of relevant work experience. Preferred Traits: Eagerness to learn new technologies. Ability to work in large teams and handle collaborative projects effectively. Strong triage and debugging skills at a system level. Work Environment & Accessibility: Qualcomm is committed to providing accessibility accommodations for individuals with disabilities during the hiring process. Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Company Overview: Ignatiuz is a digital transformation and intelligent workplace consulting company with offices in the US (PA) and India (Indore). Our mission is to accelerate digital performance through innovation and automation. We have a proven track record of delivering high-quality solutions for a variety of Fortune 500 clients, driving business success through innovation. Role Overview: We are seeking an experienced Business Process Management (BPM) Specialist to join our team. In this role, you will focus on analyzing and improving business processes, designing and implementing enterprise applications, and optimizing workflows to streamline operations. You will play a key role in identifying inefficiencies, implementing automation solutions, and ensuring alignment with organizational goals. Key Responsibilities: Business Process Analysis: Analyze and deeply understand current business processes to identify areas for improvement and optimization. Process Optimization: Design, develop, and implement effective business process management solutions to improve operational efficiency. Collaboration: Work closely with cross-functional teams, including developers, product managers, and business stakeholders to ensure enterprise applications meet business requirements. Process Mining & Automation: Utilize business process mining techniques to uncover inefficiencies and opportunities for process improvements, and implement automation solutions to streamline workflows. Technical Expertise: Apply your technical knowledge and experience to support the development and implementation of business applications that align with business goals. Stakeholder Engagement: Engage with stakeholders to gather requirements, provide insights, and ensure alignment of solutions with organizational objectives. Documentation: Prepare and maintain comprehensive documentation, reports, and status updates to communicate findings, recommendations, and project progress to stakeholders. Industry Trends: Stay updated with industry trends and best practices in BPM, process mining, and automation to continuously improve business processes. User-Centered Solutions: Develop and utilize user stories, personas, and user journeys to ensure solutions are aligned with user needs and expectations. Agile Methodologies: Apply Agile methodologies to manage projects, ensuring iterative development, timely delivery, and continuous feedback loops. Agile Ceremonies: Facilitate Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives to maintain project momentum and team alignment. Requirements: Experience: Minimum of 3 years of experience in business process understanding, business process management, and business process automation. Enterprise Applications: Proven experience in designing and implementing enterprise applications to meet business requirements. Technical Expertise: Strong technical skills and expertise in relevant BPM tools and technologies. Process Mining: Proficiency in business process mining techniques and tools to identify areas for process improvement. Industry Knowledge: Understanding of industry-specific business processes and regulations. User-Centric Design: Experience with creating and utilizing user stories, personas, and user journeys to ensure solutions meet end-user needs. Communication: Strong communication and collaboration skills to engage effectively with stakeholders. Project Management: Ability to manage multiple projects and priorities in a fast-paced environment. Agile Experience: Experience working in Agile environments and familiarity with Agile methodologies. Education: Bachelor s degree in Business Administration, Information Technology, or a related field. Qualification : Bachelors degree in business administration, Information Technology, or a related field.

About the Role: The Data Quality Measurement Team plays a pivotal role in ensuring the integrity, timeliness, and reliability of data used by various business units. The primary goal is to uphold high standards for data quality, ensuring that data is sufficiently accurate, reliable, and timely, in alignment with business or regulatory standards. The team is composed of highly skilled professionals who possess an in-depth understanding of business operations and strive to provide exceptional client experiences, while mitigating legal and regulatory risks for the organization. Key Responsibilities & Impact: Stakeholder Engagement: Collaborate with stakeholders to define requirements and usage needs for measuring data quality in a specific region or business unit. Data Quality Ownership: Take ownership of ongoing data quality measurement activities, focusing on specific regions or business areas to ensure high-quality data standards. Issue Identification & Remediation: Detect data quality issues, perform root cause analysis, and escalate issues for remediation to ensure data meets high-quality standards. Testing & Data Audits: Conduct testing on defined use cases for new technology and vendors. Deliver results and identify sources of errors in the data. Root Cause Analysis: Perform root cause analysis on smaller, self-contained data analysis tasks, often related to assigned or unfamiliar projects. Regulatory Compliance: Ensure compliance with regulatory requirements through data quality processes, particularly within the S&P Ratings division. Data Querying & Correction: Utilize data queries to identify and correct data inconsistencies, ensuring the accuracy and reliability of data. Functional and Business Knowledge: Data Development Lifecycle: Apply foundational knowledge of the data development lifecycle, tools, and theories to complete assignments efficiently. Business Understanding: Possess a basic understanding of business operations and data quality objectives within the team. Problem Solving: Data Issue Resolution: Identify and solve problems within the data domain, using analytical skills to propose clean, objective solutions. Technical Requirements Translation: Ability to analyze complex business problems and translate them into objective technical requirements with minimal business interaction. Passion for Innovation: Demonstrate a passion for problem-solving and the exploration of new technologies to improve data quality processes. Interactions: Internal Collaboration: Primarily work within the team but may also engage with related teams and stakeholders in the data domain to understand processes and procedures. Communication: Regularly communicate data quality updates within the team and to other relevant stakeholders. Typical Scope & Impact: Team Contribution: Contribute to the achievement of personal and team objectives, ensuring that data quality standards are met across the organization. Education & Experience Requirements: Minimum Qualifications: Bachelor s degree or equivalent experience required. 3-4 years of experience in a data operations role. Experience in data quality roles is a plus. Preferred Qualifications: Technical Skills: Experience with data visualization and analysis tools such as Advanced Excel, SQL, Oracle databases, Power BI, ETL, Python. Industry Knowledge: General understanding of financial and market data flows. Skills & Capabilities: Strong attention to detail and the ability to meet deadlines. Ability to effectively collaborate within a large, global team. Strong written and verbal communication skills. Analytical problem-solving skills with a willingness to ask questions and escalate unresolved concerns. Capable of holding others accountable for delivering key actions. About S&P Global Ratings: At S&P Global Ratings, we provide independent, analyst-driven credit ratings, research, and sustainable finance opinions that offer clarity and critical insights. Our high-quality credit assessments enable market participants to make confident decisions, uncover opportunities, and navigate complex economic landscapes. As part of S&P Global, we help organizations worldwide manage risk, plan for the future, and make data-driven decisions in the capital, commodity, and automotive markets. Qualification : Bachelors degree or equivalent experience required.

General Summary Qualcomm is a world leader in wireless technology innovation, shaping the future of connectivity and digital transformation. As a Hardware Engineer in Qualcomm s SoC Validation Team (SVE), you will play a critical role in ensuring the quality and reliability of Qualcomm s cutting-edge SoC silicon. This role involves developing and testing SoC validation frameworks, debugging complex system/IP issues, and working closely with cross-functional teams to launch world-class products. Responsibilities Framework Development: Design, develop, and debug system/IP validation frameworks for SoC validation in bare-metal and RTOS environments. Test Planning: Understand SoC architecture and features to prepare and execute comprehensive test plans. Validation Content Creation: Develop, port, and enhance system validation content for system-level and low-power use cases. Debugging: Identify hardware bugs, root cause issues, and interface with design/software teams for resolution. Collaboration: Coordinate with IP validation and cross-functional teams for test plans and debugging complex challenges. Performance Metrics: Use silicon debug hooks to measure power, performance, coverage, and other KPIs. Mandatory Qualifications Education: Bachelor s or Master s degree in Electronics and Communication Engineering, Computer Science, or a related field. Experience: 2-5 years of relevant experience (exceptional candidates with less experience from premier institutes will also be considered). Core Skills: Programming: Proficiency in C, C++, and assembly language for low-level programming. CPU Architecture: Strong understanding of ARMv8/ARMv9/x86/PowerPC architectures, including cache coherence, IO coherence, and interrupt handling. SoC Knowledge: Familiarity with SoC architectures, including multicore/multiprocessor systems, SMP/heterogeneous cores, and memory management. Operating Systems: Expertise in RTOS/Linux kernel internals, including scheduling, locking mechanisms, MMU, and virtual memory. Build Tools: Proficient in compilers, linkers (GCC, LLVM, RVDS), and Makefiles for efficient builds. Debugging: Experience using JTAG tools for hardware debugging. Scripting: Strong skills in Python, shell scripting, and other automation tools. Desired Qualifications SoC Expertise: Exposure to SoC architecture paradigms, interconnects, and power management. Pre-Silicon Experience: Familiarity with emulation environments and pre-Si validation workflows. Boot Code Development: Experience working with ARM boot code for silicon enablement. Board Bring-up: Experience bringing up hardware-software solutions on FPGA/emulation platforms. Automation & Regression: Familiarity with build automation tools (Jenkins) and regression testing methodologies. Version Control: Proficiency with source code management tools like Git, Perforce, and SVN. Code Quality: Strong code review and best practice implementation skills. Why Qualcomm? Work with industry leaders on groundbreaking SoC technologies. Collaborate across disciplines, including architects, designers, and software engineers. Contribute to the next generation of smart, connected systems that transform industries. Access to advanced tools and resources for professional growth. Qualification : Bachelors or Masters degree in Electronics and Communication Engineering, Computer Science, or a related field.