Profiling Tools Jobs in Bengaluru

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

Mobile App and Observability SDK Engineer Experience: 3 6 Years Location: Bengaluru About VuNet VuNet is a pioneer in Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our cutting-edge platform offers end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and superior user satisfaction. With over 28 billion digital transactions monitored monthly touching 400 million users worldwide we re already powering leading banks and financial institutions across India and MEA. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized globally by analysts like Gartner and Omdia. Your Role: Mobile App and Observability SDK Engineer At VuNet, the Product Development Team is dedicated to delivering exceptional customer experiences through scalable products. We are looking for a Mobile App and Observability SDK Engineer to join this team. In this role, you ll be at the forefront of building high-quality mobile applications and advancing our Mobile Real User Monitoring (MRUM) initiatives. You ll capture and translate mobile performance data into actionable insights, helping improve the performance and user experience of mobile apps across various platforms. If you re passionate about mobile engineering, user experience, and observability this role offers a unique opportunity to merge these interests into a groundbreaking solution. Roles & Responsibilities Mobile Application Development: Design, develop, and maintain robust, high-performance mobile applications for iOS and Android using Swift, Kotlin, Flutter, or React Native. Testing & Quality Assurance: Implement unit, integration, and UI testing strategies to ensure the app s quality, stability, and regression coverage. Debugging & Profiling: Identify and resolve performance bottlenecks, ANRs, crashes, and memory leaks using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analysis & Reporting: Integrate crash analytics tools and develop efficient incident tracking and resolution workflows. Performance Monitoring & Insights: Leverage telemetry, profiling, and analytics data to enhance app performance, responsiveness, and overall user experience. Observability Collaboration: Work with SRE and backend teams to export performance metrics, logs, and traces from mobile clients into centralized observability platforms. Code Quality: Write clean, modular, and well-documented code, adhering to best practices in mobile development and SDK maintenance. What You Bring Mandatory Skills: Mobile App Development: 3+ years of hands-on experience in mobile app development using Flutter, React Native, Swift, or Kotlin (experience in at least two of these). App Lifecycle & Performance: Strong understanding of mobile app lifecycle, UI rendering, asynchronous processing, state management, and performance optimization (ANRs, memory management, network latency). Debugging & Profiling Tools: Proficiency in debugging, profiling, and testing mobile applications using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analytics: Experience integrating and using crash analytics and reporting tools. CI/CD & SDK Versioning: Familiarity with CI/CD pipelines, automated testing, and SDK versioning. Performance Instrumentation: Interest in observability, monitoring, and performance instrumentation with a willingness to learn OpenTelemetry and RUM concepts. Problem-Solving Mindset: Strong analytical and debugging skills, focused on enhancing performance and reliability. Nice-to-Have Skills: OpenTelemetry & SDKs: Exposure to OpenTelemetry SDKs or other instrumentation frameworks for capturing telemetry data (e.g., traces, metrics, logs). Mobile Observability: Familiarity with mobile observability backends. Session Replay & Mobile Analytics: Knowledge of session replay, user behavior tracking, or mobile analytics SDKs. SRE & Monitoring Practices: Understanding of SRE principles, monitoring best practices, and golden signals. Open Source Contributions: Contributions to open-source SDKs or mobile performance tools. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. We re just getting started, and we re looking for people like you to join us in tackling some of the most complex challenges in the digital world. Our team is filled with passionate problem-solvers who thrive in a collaborative, fast-paced environment. We embrace continuous learning, adapt quickly, and stay ahead of emerging technologies like Gen AI. If you re looking to work on cutting-edge technology, make a real impact, and grow with a supportive team, you ll feel right at home here at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. A transparent, inclusive, and high-trust workplace culture. Access to Gen AI and integrated technology workspaces. Supportive career development programs to expand your skills with various training opportunities.

Lead Platform Engineer Observability Solutions Location: Bengaluru Experience: 6 10 Years Function: Observability Engineering | Platform Architecture | SRE Enablement Join VuNet Redefining Digital Observability at Scale VuNet is transforming the future of digital experiences through Business Journey Observability, combining Big Data and AI/ML to empower real-time visibility across payments, banking, and financial services. Monitoring 28+ billion transactions/month, our platform is trusted by top financial institutions and powers over 300 million users. Backed by Series B funding and recognized by Gartner, NASSCOM, and Forbes, we are leading the charge in building a new category of observability, proudly Made in India for global impact. Your Role: Lead Platform Engineer As the Lead Platform Engineer, you will architect and drive the development of packaged observability solutions across 100+ infrastructure and application technologies. You will define **golden signals**, build **data collection strategies**, and lead the standardization of alerts, dashboards, and RCA workflows for platforms like **Kubernetes, Oracle DB, and Tomcat**. This is a cross-functional leadership role that sits at the intersection of product, platform, DevOps, and SRE. You will **lead a team** and influence how observability is delivered, scaled, and adopted across complex environments. Key Responsibilities Observability Solution Development Design and lead the delivery of observability packages for databases, middleware, cloud-native, and legacy platforms. Define and implement data collection pipelines, including agents, APIs, logs, metrics, traces, and service discovery. Establish **golden signals, SLIs/SLOs**, and health KPIs for performance, availability, and anomaly detection. Dashboards, Alerts & RCA Develop standardized, reusable dashboards, alerts, reports, and troubleshooting playbooks. Automate **RCA workflows** to improve MTTR and reduce alert fatigue. Platform Enablement & Integration Work with engineering to enhance agent capabilities and support new data sources/formats. Guide implementation of platform features for better observability at scale. Team Leadership & Governance Lead and mentor a team of observability engineers and specialists. Define design patterns, reusable modules, and version-controlled libraries. Stakeholder Collaboration Partner with product managers, DevOps, SREs, and customer teams to gather requirements, align priorities, and validate use cases. Ensure deliverables are scalable, well-documented, and production-ready. What You Bring Must-Have Skills 6 10 years of experience in observability, platform engineering, or SRE roles. Hands-on with tools like Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, Splunk. Strong understanding of logs, metrics, traces, profiling, and collection strategies. Experience developing solutions for platforms like Kubernetes, Oracle, PostgreSQL, Tomcat, etc. Proficient in Python, Shell scripting, APIs, and automation tools (**Terraform**, etc.). Familiar with alert fatigue mitigation, anomaly detection, and RCA frameworks. Excellent communication, technical leadership, and documentation skills. Nice to Have Experience managing an observability marketplace or solution catalog. Contributions to open-source observability projects. Certifications in Kubernetes, Observability platforms, or cloud providers (AWS/GCP/Azure). Background in ITSM tools, CMDBs, or incident workflow automation. At VuNet, you ll help build a category-defining observability platform that s already transforming critical infrastructure for leading financial institutions. You ll work with passionate engineers, push technical boundaries, and grow in a high-trust, high-impact environment. What You ll Experience: Ownership of key observability initiatives impacting 300M+ users. Collaboration with SRE, DevOps, and product teams across real-time financial systems. Opportunity to experiment with and shape Gen AI, ML, and emerging telemetry trends. Perks & Benefits Health insurance for you, your parents, and dependents. 1:1 mental wellness support. Training programs, certifications, and career growth opportunities. Transparent, inclusive, and high-trust work culture. Access to cutting-edge technology and Gen AI-powered workspaces.

Lead Engineer Mobile Development Location: Bangalore Company: Mahindra First Choice About Mahindra First Choice Mahindra First Choice Wheels is India s leading used vehicle platform, revolutionizing the automotive ecosystem by organizing the fragmented pre-owned vehicle market. With the largest pan-India used car retail network, robust sourcing partnerships, a top-tier auto content platform, and a dominant position in enterprise solutions for banks, NBFCs, insurers, and OEMs, we are redefining the future of mobility through data, technology, and scale. Role Overview We are seeking a talented and experienced Lead Engineer Mobile Development to spearhead the design, development, and optimization of mobile applications across Android and iOS platforms. This role is ideal for a hands-on technical leader who thrives in a fast-paced environment, has deep expertise in Kotlin, Android, and iOS technologies, and can mentor teams while driving mobile projects from concept to deployment. Key Responsibilities 1. Technical Leadership & Architecture Lead the development of robust, scalable, and high-performing mobile applications for both Android and iOS platforms. Define and implement mobile architecture best practices, coding standards, and performance guidelines. Own the full mobile development lifecycle from architecture and design to deployment, monitoring, and maintenance. 2. Mobile Development & Hands-On Engineering Write clean, maintainable, and efficient code using Kotlin (including Kotlin Multiplatform), Android frameworks, and Swift/Objective-C for iOS. Build reusable libraries, components, and frameworks to streamline development. Implement modern UI/UX standards, animations, and seamless interactions for an exceptional user experience. Ensure apps are optimized for performance, battery usage, and responsiveness across devices. 3. Collaboration & Cross-Functional Coordination Work closely with Product Managers, UX/UI Designers, and Backend Engineers to translate product requirements into technical solutions. Integrate mobile applications with RESTful APIs and third-party SDKs. Coordinate with QA to ensure rigorous testing, debugging, and high-quality releases. 4. Innovation & Continuous Improvement Stay current with mobile development trends, tools, and best practices. Recommend and evaluate emerging technologies, frameworks, or tools to improve mobile development velocity and app performance. Continuously monitor and enhance the performance, stability, and usability of mobile applications. 5. Team Leadership & Mentorship Lead and mentor a team of mobile developers, fostering a culture of excellence, ownership, and learning. Conduct regular code reviews, provide technical guidance, and promote knowledge sharing. Manage development timelines, task allocation, and project delivery in collaboration with cross-functional teams. Qualifications & Skills Required Bachelor s or Master s degree in Computer Science, Engineering, or related discipline. 7+ years of hands-on experience in Android and iOS mobile application development. Deep expertise in Kotlin, Kotlin Multiplatform, and Android development (Android Studio, Jetpack components, Material Design). Proficiency in Swift and/or Objective-C for iOS development using Xcode and UIKit/SwiftUI. Solid experience integrating RESTful APIs, JSON, and third-party SDKs. Strong grasp of mobile architecture patterns such as MVVM, MVP, or Clean Architecture. Proven ability to publish and manage apps on Google Play Store and Apple App Store. Experience with performance profiling, memory optimization, and debugging tools. Preferred Experience with hybrid frameworks like Flutter or React Native. Familiarity with CI/CD pipelines, automation, and deployment tools. Working knowledge of Agile methodologies and tools like JIRA, Git, Jenkins, etc. Soft Skills Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and interpersonal skills to collaborate effectively across teams. Proven leadership capabilities and ability to mentor junior engineers in a high-growth environment. At Mahindra First Choice, you ll be part of a passionate, innovation-driven team that s transforming how India buys and sells used vehicles. This is a high-impact role with the opportunity to shape our mobile strategy and deliver apps used by thousands across the country. If you re looking to lead cutting-edge mobile projects and grow in a fast-paced tech-first environment, we d love to hear from you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related discipline

Job Title: Software Architect C++ Location: Bengaluru Overview: We are looking for a highly experienced Software Architect C++ to lead the architectural design, development framework setup, and standardization of scalable, modular, and maintainable software systems. This role is critical in shaping the foundation of distributed software development, guiding engineering practices, and driving performance and quality across the software development lifecycle. Key Responsibilities: Architectural Framework & Project Setup: Define the overall software architecture with a focus on scalability, modularity, and maintainability. Establish the development framework for distributed teams to ensure consistent and efficient collaboration. Standards & Guidelines: Design and enforce coding standards, architectural patterns, and review processes across the lifecycle. Assess and improve software architecture regularly through structured reviews and audits. Tools & Platforms: Select and configure toolchains, platforms, and APIs for the full development process, including: Visual Studio IDE setup Continuous integration Multi-threaded debugging Licensing management Cross-language integration Dependency management and bundling Development Templates & Architecture: Create C++ project templates for service architecture, API structure, and state machine design. Architect and implement solutions for parallel/threaded programming and performance debugging. Team Enablement & Training: Train and mentor development teams on advanced debugging techniques, threading models, and performance optimization in C++. Dependency & Versioning Systems: Design and manage a comprehensive dependency architecture with robust version control mechanisms. Release & Licensing Management: Develop systems for release management and define protocols for API/library licensing and compliance. Testing & Profiling: Design and implement test frameworks for integration, distribution, performance profiling, and safety compliance. Requirements: Proven experience as a Software Architect or Principal Developer with expertise in C++. Strong understanding of distributed systems, multi-threaded development, and large-scale software design. Hands-on experience with Visual Studio, CI/CD pipelines, debugging tools, and API management. Familiarity with modern development practices, dependency/version management, and licensing mechanisms. Excellent communication skills and the ability to lead and mentor engineering teams.

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies

Performance Engineer Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation through AI and data. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF), empowering industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing to harness data at scale. Recognized with multiple industry awards, including 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, we lead the way in innovative industrial solutions. Our Values Impact: Deliver meaningful outcomes with focus and purpose. Ownership: Take initiative, embrace responsibility, and collaborate inclusively. Relentless: Innovate persistently, learn from challenges, and improve continuously. Role & Responsibilities Design, develop, and execute performance and load tests to ensure system scalability, stability, and reliability of Cognite SaaS products. Identify performance bottlenecks and provide actionable insights for improvement. Build and maintain testing frameworks, scripts, and tools to support performance testing initiatives. Collaborate closely with engineering teams to align testing strategies with system architecture. Monitor production system performance and assist in root cause analysis of performance issues. Share performance optimization best practices via documentation, training, and team discussions. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related fields. 3-5 years of experience in performance testing and engineering, preferably in SaaS environments. Proficiency with performance testing tools such as JMeter, Gatling, LoadRunner, BlazeMeter, or equivalents. Strong understanding of CI/CD pipelines and container technologies like Kubernetes and Docker. Solid programming skills in Java, Python, or similar languages. Experience with databases like PostgreSQL. Familiarity with performance monitoring and analysis tools such as Grafana and Prometheus. Preferred Skills Agile methodology experience and working in globally distributed teams. Expertise testing large-scale systems and handling high-volume data loads. Knowledge of React and JSON for test data creation and API performance testing. Diverse global community with 70+ nationalities and strong DEI focus. Modern, vibrant office in Whitefield, Bengaluru with hybrid work culture. Flat organizational structure with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious and impactful industrial tech projects. Engage with the wider Cognite community through HUB conversations and partnerships. Make an Impact Join Cognite to help build scalable, high-performing SaaS solutions that empower industrial enterprises globally. We welcome candidates from all backgrounds to apply. Qualification : Bachelors or Masters degree in Computer Science, IT, or related fields.

Position: Data Integration Developer (Snowflake & DBT) Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: This role seeks candidates who are passionate about data and motivated to address the organization's analytics challenges. As a Data Integration Developer (Snowflake & DBT), you will play a crucial role in assisting our clients with their data and analytics journey. Your responsibilities will include building robust data pipelines, enhancing data consistency, and developing the necessary infrastructure to support analytics platforms. Key Responsibilities: Technical Expertise: Develop and optimize ETL processes using Snowflake capabilities. Build and maintain advanced data models and ETL processes using DBT (Data Build Tool). Ensure efficient data transformation and integration within the data warehouse. Collaboration: Work closely with data analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions. Facilitate effective communication and collaboration across teams. Quality Assurance: Implement and oversee data quality checks and testing procedures. Ensure data accuracy, consistency, and compliance with governance policies. Documentation and Reporting: Create and maintain comprehensive documentation for ETL processes and project workflows. Provide regular updates and reports on project progress and performance metrics. Compliance and Security: Ensure all data engineering activities comply with data governance and security policies. Implement measures to protect data integrity and confidentiality. Essential Skills: Proficient in SQL: Skilled in writing efficient queries on large datasets, including CTE and database table design. Snowflake Expertise: Experience with Snowflake or other database technologies, including SQL tuning. ETL Development: Skilled in developing and optimizing ETL processes using Snowflake and other tools. DBT Experience: Familiar with DBT Core/DBT Cloud and fundamental data modeling concepts (3NF, Star, Snowflake). Data Analysis and Profiling: Experienced in data analysis and profiling tasks. Qualifications: Overall Work Experience: More than 5 years of experience, with at least 2-3 years of experience in Snowflake and DBT. Education: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Key Qualities: Decision Making: Ability to influence and implement change with confidence and sound decisions. Problem-Solving: Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers. Communication: Ability to consult, write, and present persuasively. Team Collaboration: Works effectively in self-organized, cross-functional teams. Apply now and become an integral part of our innovative team working on cutting-edge data integration solutions! Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus).

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Job Title: Application Developer - ETL and Data Management Introduction: In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide deep technical and industry expertise to a wide range of public and private sector clients globally. Our delivery centers leverage locally-based skills to help clients drive innovation and the adoption of new technologies. A career in IBM Consulting is built on long-term relationships and close collaboration with clients across the world. You will work with leaders across industries to improve the hybrid cloud and AI journeys for some of the most innovative and valuable companies worldwide. Your ability to make a meaningful impact for clients is enabled by our strategic partner ecosystem and robust technology platforms, including Software and Red Hat. Curiosity and a constant quest for knowledge are key to success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, explore new ideas, and come up with creative solutions that result in groundbreaking impact for a wide network of clients. Our culture is built on evolution and empathy, focusing on long-term career growth and development in an environment that values your unique skills and experience. Your Role and Responsibilities: ETL Workflow Development: Develop and implement ETL workflows by creating ETL jobs, and data models in datamarts using technologies such as Snowflake, DBT, Unix, and SQL. Batch Processing Redesign: Redesign Control M Batch processing for ETL job builds to run efficiently in a production environment. System Evaluation and Improvement: Study the existing system to evaluate its effectiveness and design new systems to improve workflow efficiency. Business Program Analysis & Support: Perform requirements identification, business program analysis, testing, and system enhancements while providing production support. Agile Environment: Work effectively in an Agile environment and gain familiarity with tools such as JIRA and SharePoint. Client Interaction: Good written and verbal communication skills are essential as you will interact directly with client counterparts to understand requirements and provide solutions. Required Technical and Professional Expertise: Experience: A minimum of 3 years of experience in developing ETL applications, implementing workflows, and creating data models using Snowflake, DBT, Unix, and SQL technologies. Agile Environment: Strong understanding of working in an Agile environment and proficiency in tools like JIRA and SharePoint. Problem-Solving Skills: Ability to manage change and proven time management skills. Strong interpersonal skills to contribute effectively to team efforts. Continuous Learning: Stay up-to-date with technical knowledge by attending educational workshops and reviewing relevant publications. Preferred Technical and Professional Expertise: ETL Development: Experience in developing triggers, functions, and stored procedures to support ETL workflows. Impact Analysis: Assist with impact analysis of changing upstream processes on the Data Warehouse and reporting systems. ETL & Reporting Support: Participate in the design, testing, support, and debugging of new and existing ETL and reporting processes. Data Profiling & Troubleshooting: Perform data profiling and analysis using a variety of tools, troubleshoot and support production processes, and maintain documentation. Innovation: Be part of a team that drives global change and leverages cutting-edge technologies to solve complex problems. Growth: Gain access to continuous learning and career development opportunities to further your expertise in data management and cloud technologies. Collaboration: Work with a diverse team in a collaborative environment that values new ideas and creative solutions. Global Impact: Your work will contribute to improving business operations and technological advancements for clients around the world. If you're passionate about driving innovative solutions, working with a variety of clients, and continuously evolving your skills, IBM Consulting is the perfect place for you to advance your career.

Software Engineer - Power Management Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary We are looking for a Software Engineer to work in the platform power area of the Windows on Snapdragon team. The candidate will be responsible for designing, developing, and validating device power management, microprocessor power management, and thermal management solutions across various Windows on Snapdragon products. The role focuses on achieving optimal power and performance from the chipset. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. The Ideal Candidate Should Have Experience with Embedded Windows software and strong driver programming skills. Solid understanding of Operating System concepts. Windows kernel driver development experience. Hands-on experience in implementing power/thermal management software, state machines, ACPI, and UEFI. Strong programming skills in C/C++, along with proficiency in Shell Scripting or Python. Experience debugging ARM or other SoC embedded systems. Strong communication and interpersonal skills. Excellent problem-solving and debugging abilities. Ability to coordinate across stakeholders and drive tasks to completion. Experience 1+ years of Software Engineering or related work experience. Expertise in Windows OS internals and Windows driver development related to power and thermal management. Experience with Windows device driver programming and debugging using tools like WinDbg and JTAG. Familiarity with ARM processor architecture and Assembly Language. Knowledge of PC software such as System BIOS, UEFI, ACPI, drivers, and applications. Experience with embedded operating systems, including kernel architecture, OS services, heap and memory management, multi-core and multi-threading environments, and crash debugging. Understanding of system performance profiling and optimization techniques. Strong written and verbal communication skills, self-motivation, and the ability to quickly learn new technologies. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm's toll-free number available on their website. Upon request, reasonable accommodations will be provided to support individuals with disabilities throughout the hiring process. Qualcomm is also committed to ensuring that the workplace is accessible for individuals with disabilities. (Please note that this email address is exclusively for accommodation requests. Status updates on applications or resume inquiries will not be provided via this channel.) Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Software Engineer Power/Thermal Software Products Team Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world-class products that meet and exceed customer needs. You will collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. Job Description Job Overview: The Power/Thermal Software Products Team at Qualcomm focuses on delivering industry-leading power, thermal, and limit software management solutions across Qualcomm s Mobile, Automotive, Compute, IoT, and AR/VR chipsets. In this role, you will work with cross-functional teams to: Identify power optimization and performance tuning opportunities. Perform thermal/limits hardware tuning, characterization, and risk assessment. Develop optimized solutions and mitigation strategies. Conduct system-level analysis of power/thermal use cases. Collaborate with Architecture, Hardware Design, Performance, Power/Thermal Systems, and various Software teams to create optimal system-level power/thermal software solutions. Develop tools and methodologies for competitive analysis to understand competitors strengths and weaknesses. Design and implement thermal mitigation schemes that are best in the industry. Preferred Qualifications 3+ years of experience with Programming Languages such as C, C++, Java, Python, etc. Strong systems/hardware background with a solid understanding of microprocessor architecture and common SoC hardware blocks (interconnects, display, graphics, etc.). Good understanding of operating system concepts including scheduling, memory management, process management, interrupt handling, and device drivers. Experience using debug tools such as JTAG debuggers, oscilloscopes, and logic analyzers. Experience developing power/thermal management software. In-depth knowledge of embedded systems, microcontrollers, SoC power, modems, multimedia, wireless communications, and system-level debugging/analysis for SoC power optimization. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm s toll-free number found on their website. Upon request, reasonable accommodations will be provided to support individuals with disabilities during the hiring process. Qualcomm is also committed to ensuring its workplace is accessible to individuals with disabilities. (Please note that this email address is exclusively for accommodation requests. Qualcomm will not respond to requests for application status updates or resume inquiries via this email.) Recruitment Policy Qualcomm s Careers Site is only for individuals seeking employment directly with Qualcomm. Staffing and recruiting agencies, as well as candidates represented by agencies, are not authorized to use this site to submit profiles, applications, or resumes. Any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies and is not responsible for any associated fees. Compliance Notice Qualcomm employees are expected to comply with all applicable policies and procedures, including but not limited to security requirements and protection of company confidential and proprietary information, in line with applicable laws. Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

Software Engineer - Platform Power (Windows on Snapdragon Team) Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary We are seeking a Software Engineer to work in the platform power area of the Windows on Snapdragon team. The selected candidate will be responsible for designing, developing, and validating device power management, microprocessor power management, and thermal management for various Windows on Snapdragon products. The objective is to achieve optimal power and performance from the chipset. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. Required Skills and Experience Experience in Embedded Windows software development and driver programming. Solid understanding of Operating System concepts. Hands-on experience with Windows kernel driver development. Experience implementing power/thermal management software, state machines, ACPI, and UEFI. Strong programming skills in C/C++, Shell Scripting, or Python. Proficiency in debugging ARM or other SoC embedded systems. Excellent communication and interpersonal skills. Strong analytical, problem-solving, and debugging capabilities. Ability to collaborate across teams and drive task completion. Technical Expertise 1+ years of Software Engineering or related work experience. Expertise in C/C++ programming. Knowledge of Windows OS internals and Windows driver development related to power/thermal management. Experience with Windows device driver programming and debugging using tools like WinDbg, JTAG, etc. Familiarity with ARM processor architecture and assembly language. Exposure to PC software components such as System BIOS, UEFI, ACPI, Drivers, and Applications. Understanding of Embedded OS concepts, including Kernel architecture, OS services, memory management, multi-core processing, multi-threading, and crash debugging. Knowledge of OS/system performance profiling and optimization techniques. Strong written and verbal communication skills, along with a high level of motivation and eagerness to learn. Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field.

Job Title: System Software Development Engineer Functional Safety Job Description: The Intel Client Computing Group (CCG) Edge Software division is seeking experienced professionals in system software development for embedded product applications. This role offers an exciting opportunity to be part of a high-impact team responsible for enabling Functional Safety (FuSa) Software/Firmware solutions for Intel Edge platforms. Key Responsibilities: Develop Functional Safety (FuSa) firmware and software solutions as part of the system software development team. Take ownership of specific software/firmware modules, ensuring their compliance with FuSa standards such as IEC 61508 and DO-178C. Conduct unit testing, static and dynamic analysis, and maintain traceability of requirements. Create software collaterals and documentation that meet FuSa standards. Perform integration activities for milestone releases, Best Known Configuration (BKC) updates, and user guide preparation for customer enablement. Qualifications & Requirements: Education: Bachelor's or Master's degree in Computer Science, Electronics, or a related field. Experience: Minimum 5+ years of experience in embedded system software development. Programming Skills: Proficiency in C/C++. Scripting Expertise: Experience with scripting languages such as Python and Perl for test case development. Operating Systems: Strong knowledge of Linux System Software and Real-Time Operating Systems (RTOS). Debugging & Toolchains: Hands-on experience with embedded software debugging tools and code versioning toolchains. Software Development & Integration: In-depth understanding of software development methodologies, integration processes, and source code management systems (e.g., GitHub). Collaboration & Communication: Excellent written and verbal communication skills, with a strong ability to document technical processes effectively. Soft Skills: Strong analytical, organizational, and problem-solving skills, with a proactive, resourceful, and self-motivated approach to work. About the Client Computing Group (CCG): The Client Computing Group (CCG) at Intel drives business strategy and product development for Intel's PC platforms, covering a range of form factors including notebooks, desktops, 2-in-1s, and all-in-one devices. Working closely with industry partners, CCG aims to deliver cutting-edge computing experiences that empower individuals to focus, create, and connect in meaningful ways. As Intel s largest business unit, CCG fuels innovation and advances Intel s mission to enrich lives through technology. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status under local law. Intel offers one of the best total compensation packages in the industry, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Professional development opportunities and career growth support. Qualification : Bachelor's or Master's degree in Computer Science, Electronics, or a related field.

Job Description Intel is seeking an enthusiastic, motivated, and self-driven engineer specializing in Power Analysis and Signoff. This role involves working on power and performance optimization for complex multi-million gate SoCs, collaborating across teams to ensure low-power design efficiency and successful tape-out. Key Responsibilities: Define and analyze chip power & performance targets. Perform FSDB analysis for various design power scenarios and extract optimal activity windows. Conduct power estimation and analysis at block level and aggregate total power for SoC. Collaborate with architecture, design, and implementation teams for power optimization. Execute low-power (LP) checks at both block and full-chip level, analyze logs/reports, and ensure high-quality results. Work closely with Front-End (FE) and Back-End (BE) teams to achieve overall power convergence and low-power signoff for tape-out. Qualifications & Experience: Educational Requirements: B.E/M.E in Electrical Engineering or a related field. 8+ years of experience in logic design, synthesis, and low-power design/implementation for complex SoCs. Technical Expertise: Proficiency in power analysis tools such as PT-PX/Prime Power. Experience with FSDB analysis using Verdi tool. Knowledge of Power Artist for power analysis (a plus). Hands-on experience with industry-standard LP check tools like PTPX for power estimation. Strong analytical and problem-solving skills. Scripting expertise in Tcl, Perl, and Python (required). About the Xeon and Networking Engineering (XNE) Group: The Xeon and Networking Engineering (XNE) Group focuses on the development and integration of Xeon and Networking SoCs, supporting Intel s Xeon and 5G networking roadmap. XNE drives high-performance computing innovations while ensuring power efficiency and scalability. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer, providing fair consideration to all applicants regardless of race, color, religion, gender, sexual orientation, disability, veteran status, or any other protected characteristic under local law. Intel offers a best-in-class compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for professional development and career advancement. Qualification : B.E/M.E in Electrical Engineering or a related field.

Job Title: Power Optimization & Performance Engineer Windows Platforms Job Description: Intel is seeking a Power Optimization & Performance Engineer to drive power efficiency and responsiveness enhancements across Windows platforms. The role involves deep analysis of software workloads, power-performance tuning, and debugging complex system-level issues to optimize Intel s laptop and desktop platforms. The engineer will work closely with platform architects and cross-functional teams to define power-performance metrics, develop battery life improvement strategies, and drive forward-looking technology readiness initiatives. Key Responsibilities: Power & Performance Analysis: Perform in-depth analysis of software flows at the trace, thread, and process ID levels to identify power optimization opportunities and performance bottlenecks. Platform Power Optimization: Leverage state-of-the-art analysis tools to identify and resolve battery life and performance issues in domains such as Graphics, Multimedia, Display, Imaging, and CPU. Technical Leadership & Troubleshooting: Diagnose complex system-level power and performance issues, demonstrating strong debugging expertise in Windows-based Intel platforms. Cross-Team Collaboration: Work with platform architects and engineers to define power-performance metrics, optimize power delivery across SoC components, and influence next-generation platform architectures. Windows OS & Driver Optimization: Identify and drive power savings features or performance tuning opportunities into current and next-gen Intel platforms. Collaborate with OS and driver teams for power-aware enhancements. Future Technology Readiness: Analyze expected vs. actual platform behavior, propose forward-looking enhancements, and influence SoC and Windows OS architectures. Qualifications & Experience: Educational Requirements: B.Tech/M.Tech in Electronics or Computer Engineering or related fields. Technical Expertise: Embedded Systems & Software Development: Experience in software/firmware development, integration, or validation. Platform Power Management: Understanding of CPU/SoC architecture, power delivery, sensors, memory, storage, display, multimedia, and imaging subsystems. OS & System Debugging: Strong grasp of Windows OS fundamentals, system-level debugging, and exposure to firmware & device drivers. Windows Debug Tools: Experience with Windows Driver Debugging and Windows Debug tools (preferred). Power & Performance Optimization: Hands-on experience with power-performance measurement, analysis, and benchmarking. Analytical & Problem-Solving Skills: Ability to troubleshoot complex system issues and propose efficient power-saving techniques. Excellent Communication & Collaboration: Strong ability to interact across teams and drive technical discussions. About Intel s Client Computing Group (CCG): The Client Computing Group (CCG) drives Intel s PC business strategy and product development, spanning notebooks, desktops, 2-in-1s, and all-in-ones. As Intel s largest business unit, CCG is dedicated to enhancing PC experiences, fostering innovation, and delivering market-leading computing solutions. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer that values diversity and welcomes applications from all qualified candidates, regardless of gender, nationality, disability, or other protected status. Intel offers a highly competitive compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive health, retirement, and vacation benefits. Access to cutting-edge technology and career growth opportunities. Qualification : B.Tech/M.Tech in Electronics or Computer Engineering or related fields.

NVIDIA is searching for outstanding senior system software engineer to join the NVIDIA's automotive display driver team and help produce the next-gen groundbreaking products. The best candidates will have very strong C programming skills and validated understanding of Graphics systems software with clear understanding of Computer Architecture and OS fundamentals. In this position you'll have the opportunity to work on the latest innovative NVIDIA automotive platforms. We have a real passion for pushing the technology to its limit and creativity which will be fully tested and applied here. You will closely work with experts from display and adjacent domains in system software, hardware across NVIDIA to build the best products in the segment. What you'll be doing: Define, design, develop, test and maintain our GPU/Display kernel mode drivers and embedded firmwares. Candidate will have an opportunity to work across multiple operating systems, e.g. Linux, Android, QNX. Get to craft, develop, unit test, document and maintain features for NVIDIA GPUs and Tegra SoCs. What we need to see: BS or equivalent experience in Computer Science or related field. 10+ years of experience developing system software and kernel mode drivers in one or more of the Linux, QNX or Android operating systems. Skilled control over C programming to develop multi-threaded complex kernel mode drivers. Excellent understanding of computer architecture, operating systems concepts, memory management, and concurrency. Experience in graphics device drivers will be a distinguisher. Strong communication and interpersonal skills. Ways to stand out from the crowd: Experience working in Linux DRM-KMS (Kernel Mode Setting) subsystem. Conceptual understanding of user-space compositors, e.g. Android HWC, Wayland Compositor, QNX Screen etc. Experience working with display protocols, e.g. HDMI, Display Port. Qualification : BS or equivalent experience in Computer Science or related field.

Experience Level: 4+ years (Bachelor s), 3+ years (Master s), or 2+ years (PhD) Preferred Domains: Embedded Systems, Mobile, IoT, Automotive General Summary: We are seeking a highly skilled Systems Engineer with experience in post-silicon validation, system modeling, and power-performance optimization. The ideal candidate will work on cutting-edge embedded systems with a focus on CPU, GPU, and AI workload performance. This role offers an opportunity to collaborate with cross-functional teams to optimize SoC performance and contribute to next-generation product innovations. Preferred Qualifications: Experience in as many of the following areas is desirable: Embedded Systems & Mobile/IoT/Auto Domains: Hands-on experience with complex embedded systems and SOC performance. Post-Silicon Validation: System validation, performance analysis, and feedback to influence future product development. Power & Performance Analysis: Analyzing power-performance data for various CPU, GPU, and AI workloads/benchmarks. System Modeling & Profiling: Expertise in power/performance use cases, SOC profiling, PPA tradeoffs, and product qualification. CPU Microarchitecture: Knowledge of cache, latency, bandwidth analysis, and optimization. Linux/Android Kernel Development: Experience with device driver development, Android architecture, and system programming. Power Optimization: Experience with DVFS/DCVS governors and power management at the system level. Hands-On Lab Experience: Familiarity with DAQs, oscilloscopes, JTAG, ARM Developer Studio, and power data acquisition. Automation & Scripting: Proficiency in Python, shell scripting, ADB shell, and automation environments for Linux/Android systems. Collaboration & Leadership: Ability to work with internal teams and external partners for analysis and optimization. Acts as a tech lead and provides guidance to engineering teams. Tools & Version Control: Exposure to Git, Jira, Android, and QTI tools. Key Responsibilities: Perform post-silicon validation of SoC performance and architecture. Analyze and optimize power-performance trade-offs in collaboration with architecture teams. Develop and enhance tools to assist in performance analysis and workload characterization. Drive power and performance optimization for CPUs, GPUs, and AI workloads. Provide technical leadership and guide teams on system-level optimization and validation. Collaborate with internal and external teams to achieve performance goals. Minimum Qualifications: Bachelor s degree in Engineering, Information Systems, Computer Science, or a related field and 4+ years of relevant experience. Master s degree in Engineering, Information Systems, Computer Science, or a related field and 3+ years of relevant experience. PhD in Engineering, Information Systems, Computer Science, or a related field and 2+ years of relevant experience. Skills: Strong understanding of computer architecture and OS fundamentals. Excellent communication and presentation skills. Ability to manage tasks independently and work in a fast-paced environment.