Power Management IC Architect Jobs in Bengaluru

ERP Engineer Location: Bengaluru Department: Hardware Employment Type: Full-Time About Dozee Dozee Health AI is a pioneer in AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS), driving transformation in healthcare at scale. Headquartered in Bengaluru, Dozee has quickly emerged as India s #1 RPM company. Trusted by leading healthcare providers across India, the USA, and Africa, Dozee s innovative solutions enhance patient safety, improve outcomes, and reduce costs. We aim to Save a Million Lives with Health AI. Role Overview We are looking for an ERP Engineer to manage and optimize Microsoft Dynamics ERP modules, ensuring seamless performance and data integrity across our systems. You will work alongside technical and business teams to implement customizations and integrations that enhance our operational efficiency and scalability. Key Responsibilities ERP Management & Customization Manage and maintain Microsoft Dynamics ERP modules to ensure system stability and optimal performance. Develop and deploy customizations, workflows, and process automations that align with business needs. Integrate ERP with internal systems (CRM, HRMS, Finance) and third-party applications using APIs and data connectors. Collaboration & Implementation Collaborate with cross-functional teams to analyze business requirements and design ERP solutions. Conduct testing, document new features, and support system enhancements. Provide troubleshooting and technical support to ensure minimal system downtime. Training & Optimization Lead end-user training and create user manuals for smooth ERP adoption. Monitor system performance, suggest improvements, and optimize ERP configurations. Work with stakeholders to enhance ERP processes in finance, procurement, inventory, and production. Requirements Experience & Qualifications 3 5 years of hands-on experience with ERP management, customization, and integration. Specific experience with Microsoft Dynamics 365 Business Central / Dynamics NAV is preferred. Bachelor s or Master s degree in a relevant field. Skills Strong understanding of ERP architecture, data structures, and business workflows. Experience with integration tools and middleware such as Azure Integration Services or Power Automate. Familiarity with project management tools like JIRA, Confluence, or Asana. Personal Attributes Strong analytical and problem-solving abilities with high attention to detail. Excellent communication skills and the ability to collaborate with multiple stakeholders. Why Join Dozee Be part of a mission-driven company transforming healthcare with AI. Work with top healthcare providers and cutting-edge technology. Opportunity to drive impactful change in a high-growth, fast-paced environment. Qualification : Bachelors or Masters degree in a relevant field

Position: Principal Product Designer Location: Bengaluru Department: Design Employment Type: Full-time, On-site About Upstox At Upstox, we're building the future of investing simple, powerful, and inclusive. As one of India s fastest-growing fintech platforms, we re backed by leading investors such as Mr. Ratan Tata and Tiger Global, and committed to making wealth creation accessible to every Indian. Millions of users from first-time investors to seasoned traders trust us to power their financial journeys. We're growing fast, and we're doing it with purpose. If you thrive in high-energy, high-impact environments, you ll feel right at home here. The Role: Principal Product Designer As a Principal Product Designer, you ll drive design excellence across Upstox s most critical fintech experiences. In this senior individual contributor role, you ll shape user experiences through deep, hands-on design work without the responsibilities of people management. You ll help guide the evolution of our design systems and deliver intuitive, elegant, and scalable product solutions that directly impact millions. This is a pivotal role where design is not just support it s a strategic force in product development. Key Responsibilities Own end-to-end design of core product experiences from user research and ideation to execution and delivery Lead the development and scaling of a cohesive, cross-platform design system Translate user needs, business goals, and research insights into high-impact, pixel-perfect solutions Collaborate cross-functionally with product managers, engineers, marketers, and compliance teams Continuously measure and refine design output using KPIs, analytics, and user feedback Champion design thinking across the organization, advocating for user needs and design best practices Set a high design bar through thought leadership, mentorship, and hands-on execution 9+ years of experience in product design, ideally in consumer tech or fintech A strong portfolio that showcases deep user insight, systems thinking, and excellent execution across platforms Proficiency with Figma, Sketch, Adobe XD, and experience building and managing design systems Strong foundation in user-centered design, accessibility standards, and familiarity with fintech compliance Exceptional communication skills you articulate design decisions with clarity and influence across functions Self-motivated, adaptable, and excited by complex problem-solving in fast-paced environments Bachelor s degree in Design, HCI, Computer Science, or a related field (preferred) Why This Role Stands Out Shape the digital financial journey for millions of users in India s fast-evolving fintech space Work on high-impact, strategic product initiatives as a senior IC, not a manager Partner directly with founders and senior leaders across product, growth, and engineering Build and scale a world-class design system and practice from the ground up Be part of a design-first culture where your craft directly drives trust, success, and innovation Qualification : Bachelors degree in Design, HCI, Computer Science, or a related field

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

Job Title: Staff Machine Learning Engineer Location: Bengaluru, Karnataka, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 6-10+ Years About Eightfold.ai: At Eightfold.ai, we re revolutionizing the way organizations find, manage, and empower talent. As a leader in AI-driven HR tech, our groundbreaking platform is transforming industries by using artificial intelligence to solve talent management challenges at scale. We are looking for exceptional engineers to join our team and be at the forefront of innovation in the field of AI. About the AI/ML Team: The AI/ML team at Eightfold is passionate about building cutting-edge solutions and pushing the boundaries of applied machine learning. We work with massive datasets and tackle complex, real-world challenges to develop state-of-the-art AI models. Our models are transforming how companies approach talent management, and we are looking for a Staff Machine Learning Engineer to help lead this journey. What You Will Do: As a Staff Machine Learning Engineer, you will play a critical role in leading and inspiring our ML team while architecting and implementing scalable, robust ML pipelines for our core products. Lead and Inspire: Mentor and guide a team of talented ML engineers, fostering a collaborative environment that encourages innovation. Architect and Implement: Design and build scalable ML pipelines that power Eightfold s core products. Innovate and Optimize: Develop novel algorithms and continuously enhance the performance, accuracy, and scalability of our models. Solve Complex Problems: Work on challenging real-world problems, including NLP, recommendation systems, and predictive analytics. Stay Ahead of the Curve: Research and implement cutting-edge techniques in deep learning, reinforcement learning, and other emerging fields. LLM & NLP Expertise: Design and implement scalable solutions using Large Language Models (LLMs), fine-tuning them for specific NLP tasks, and developing LLM-powered applications. What You Bring: Required Skills & Experience: Deep Expertise in ML & AI: Strong foundation in Machine Learning, Deep Learning, and Natural Language Processing (NLP) with a proven track record of developing and deploying ML models at scale. Technical Leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-Solving Mindset: Ability to analyze complex problems and develop innovative solutions. Passion for AI: Genuine enthusiasm for pushing the boundaries of AI and its real-world applications. Advanced Skills in Python & ML Frameworks: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch), along with experience in big data technologies like Hadoop and Spark. CS Fundamentals & Coding: Strong foundation in computer science fundamentals and coding languages (Python, C/C++, Java, Scala, R). GenAI & LLM Expertise: Experience in developing and deploying LLM-powered applications, with knowledge of LLM fine-tuning techniques, optimization strategies, and ethical considerations. Nice to Haves: 6-10+ years of experience in Machine Learning and AI. MS or PhD in Computer Science or related field. Publications in top-tier AI conferences. Contributions to open-source ML projects. Familiarity with Generative AI (GenAI), Transformers, and LLMs. Impactful Work: Play a pivotal role in shaping the future of AI and its applications in talent management. Innovative Environment: Work on cutting-edge projects with world-class experts in the field of AI/ML. Career Growth: Accelerate your career in a dynamic, fast-paced environment with abundant opportunities for professional growth. Hybrid Work Model: Embrace a flexible work environment with the ability to collaborate remotely and in-person at our Bengaluru or Noida offices twice a week starting February 1, 2024. Competitive Benefits: Comprehensive family medical, vision, and dental coverage, a competitive base salary, equity awards, and discretionary bonuses or commissions. How to Apply: If you're a passionate AI/ML engineer ready to take on challenging problems and make a meaningful impact, we d love to hear from you. Join Eightfold.ai and help shape the future of AI-powered talent intelligence! Qualification : MS or PhD in Computer Science or a related field

Senior Technical Project Manager Location: Bangalore Experience: 12 15 Years Company: Mphasis Job Summary The Technical Application Delivery Manager is responsible for overseeing the comprehensive delivery of software applications, ensuring alignment with business needs, technical requirements, and best practices. This role requires a combination of technical expertise, project management skills, stakeholder engagement, and leadership abilities to successfully drive application development and deployment across multiple teams. The candidate will collaborate closely with development teams, business analysts, infrastructure engineers, and stakeholders to ensure timely and high-quality delivery of software solutions. Years of Experience Needed 8+ years of experience in IT/application delivery At least 3-5 years in a leadership role Technical Skills Software Development Lifecycle (SDLC): Expertise in Agile, Scrum, and DevOps practices Cloud Technologies: Proficiency in AWS, Azure, or Google Cloud Platform (GCP) DevOps & CI/CD: Knowledge of Jenkins, GitHub Actions, Azure DevOps, Kubernetes, Docker, Terraform Application Architecture: Expertise in microservices, APIs, event-driven architecture, containerization Programming & Scripting: Familiarity with Java, .NET, Python, JavaScript, or other modern languages Database & Data Management: Understanding of SQL/NoSQL databases, data governance, and analytics CRM: Familiarity with Salesforce Project & Delivery Management Skills Experience in Agile project management, Jira, and Agile frameworks (Scrum, SAFe, Kanban) Expertise in budgeting, cost estimation, and financial planning for application development projects Stakeholder communication and executive reporting skills Vendor management and contract negotiation experience Soft Skills Leadership & Team Management: Ability to mentor teams and foster a culture of accountability and innovation Problem-Solving: Strong analytical skills for troubleshooting technical and process-related issues Collaboration: Excellent ability to work across cross-functional teams, including business and IT Decision-Making: Data-driven approach to prioritization and resource allocation Customer-Centric Mindset: Ensuring that applications align with business and user needs Key Responsibilities (KRA Key Result Areas) Project & Application Delivery Management Lead the planning, execution, and delivery of software applications, ensuring adherence to scope, budget, and timeline Define and manage application delivery roadmaps, aligning with business objectives and IT strategy Oversee software development lifecycle (SDLC) processes, including Agile, DevOps, and CI/CD pipelines Ensure effective risk management and mitigation strategies in application development projects Monitor project performance and take corrective actions to resolve issues proactively Stakeholder & Vendor Management Collaborate with business stakeholders to understand application requirements and translate them into technical solutions Serve as the primary contact point between IT teams, business units, and third-party vendors Manage vendor relationships, ensuring SLAs, contracts, and performance standards are met Communicate progress, challenges, and risks to senior management and stakeholders Technical Leadership & Architecture Oversight Work with architects and development teams to ensure scalable, secure, and high-performing application architectures Promote best practices in software engineering, security, and cloud adoption Provide technical guidance on integration, APIs, microservices, and data management Advocate for automation, DevOps, and cloud-native application development Team Management & Agile Coaching Lead and mentor development, QA, and DevOps teams to enhance technical proficiency and delivery efficiency Foster Agile and DevOps methodologies, ensuring collaboration and continuous improvement Conduct performance reviews and cultivate a culture of learning and innovation within the team Security, Compliance & Risk Management Ensure applications comply with cybersecurity policies, data protection regulations, and industry standards Collaborate with security teams to integrate security best practices into the SDLC Manage incident response plans for application-related issues and security breaches Continuous Improvement & Innovation Identify opportunities for process improvements, automation, and optimization in application delivery Stay updated with emerging technologies, frameworks, and trends in application development Drive digital transformation initiatives, including cloud migration and modernization Experience & Qualifications Educational Background: Bachelor s or Master s Degree in Computer Science, Information Technology, Engineering, or a related field Professional Experience: 8+ years of experience in IT/application delivery, with at least 3-5 years in a leadership role Proven experience in managing large-scale enterprise application development and deployment Strong background in cloud platforms (AWS, Azure, GCP) and DevOps methodologies Experience working in regulated industries (finance, healthcare, telecom) is advantageous Certifications Needed Project Management: PMP, PRINCE2, CSM (Certified Scrum Master), SAFe Agile Certification Cloud & DevOps: AWS/Azure/GCP Solutions Architect, Kubernetes, Terraform About Mphasis Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis Front2Back Transformation approach, leveraging the exponential power of cloud and cognitive technologies. The company s Service Transformation helps enterprises modernize legacy environments, ensuring they stay ahead in a changing world. Equal Opportunity Employer Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regar...

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Roles and Responsibilities Responsible for power management verification includes Boot, Reset, clock gating, power gating, Voltage/frequency management, limit management and throttling. Work closely with design/verification teams within CPU to develop comprehensive test plan. Use simulation and formal verification methodologies to execute test plans. Write checkers, assertions and develop stimulus. Verify power intent through use of methodologies like UPF. Work closely with system architects, software teams and Soc team to validate system use cases. Work closely with emulation team to enable verification on emulators and FPGA platforms. Debug and triage failures in simulation, emulation and/or Silicon. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Minimum Requirements: BE/BTech degree in CS/EE with 8+ years experience. Experience in power management verification. Implementation of assembly and C language embedded firmware. Experience in C/C++, scripting languages, Verilog/system Verilog. Strong understanding of power management features in CPUs and CPU based Socs. Experience in verification of power management features such as clock gating, power gating, UPF, DVFS/DCVS, reliability, throttling etc. Preferred Requirements: Good Understanding of CPU architectures and CPU micro-architectures. In-depth knowledge of digital logic design, micro-processor, debug feature, and DFT architecture and microarchitecture Experience with advanced verification techniques such as formal and assertions is a plus Knowledge and verification experience in DFT and structural debug concepts and methodologies: JTAG, IEEE1500, MBIST, scan dump, memory dump is a plus. Qualification : BE/BTech degree in CS/EE

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: Senior Engineer - Kernel & Driver - Linux Job Summary The Senior Engineer for Kernel & Driver Development in Linux will be responsible for designing, developing, and maintaining embedded Linux systems and drivers. This role involves working on the kernel, device drivers, and board bring-up for various embedded platforms. The engineer will also work closely with cross-functional teams, analyze complex problems, and contribute to the continuous improvement of Linux-based systems. This position requires an individual with strong technical expertise in Linux, kernel development, and embedded systems. Key Responsibilities Kernel and Driver Development: Design, develop, and optimize embedded Linux kernel and device drivers, including board bring-up and device tree configuration. Customize, debug, and fix kernel and driver issues to enhance system performance and reliability. Collaboration and Support: Collaborate with internal teams and customers to resolve technical issues, provide solutions, and ensure system stability. Interact with project managers and team leads to ensure project milestones are met and quality standards are adhered to. System Integration and Testing: Perform system integration and testing to ensure compatibility and proper functioning of kernel and drivers across different platforms. Develop and execute test plans, debug kernel crashes, and perform root cause analysis. Continuous Improvement: Identify opportunities to optimize system performance and enhance the functionality of embedded Linux systems. Provide technical guidance and mentorship to junior engineers and contribute to best practices. Documentation and Reporting: Maintain accurate documentation for kernel configurations, driver designs, and bug fixes. Regularly update project progress, report risks, and participate in code reviews. Education and Experience Required Education: Bachelor's or Master's degree in Computer Science, Electronics, or a related field. Experience: 5+ years of experience in embedded Linux kernel and driver development, with strong expertise in debugging and system optimization. Technical Competencies Linux Kernel & Driver Development: Extensive experience with embedded Linux kernel, device tree, and driver development (customization, bug fixing, and optimization). In-depth knowledge of Linux kernel internals and system architecture. Platforms: Experience with ARM, x86/Intel Atom, or other embedded Linux platforms. Tools: Proficiency with tools such as Lauterbach, Makefile (build systems), Git, and Gerrit. Programming Languages: Strong proficiency in C programming language. Specialization Areas: Power Management Peripherals Media, Display, and Connectivity Data Protocols Security Performance Optimization Android (Optional) Carrier-grade Platforms Additional Competencies Problem-Solving: Ability to troubleshoot complex system issues and provide innovative solutions. Communication Skills: Strong written and verbal communication skills for technical documentation and customer interaction. Team Collaboration: Ability to work effectively with cross-functional teams, including hardware, software, and testing teams. Attention to Detail: Detail-oriented approach to design, debugging, and testing to ensure high-quality system performance. This position is ideal for an experienced engineer with a deep understanding of Linux kernel and driver development who is looking to contribute to cutting-edge embedded systems and gain exposure to new technologies in a fast-paced environment. Qualification : Bachelor's or Master's degree in Computer Science, Electronics, 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.

About Ansys For over 50 years, Ansys has been at the forefront of innovation, enabling companies across industries to push boundaries through the predictive power of simulation. From sustainable transportation to life-saving medical devices, our solutions help bridge the gap between design and reality. At Ansys, we empower our employees to turn visionary ideas into reality. Join us and shape the future of simulation technology! Role Overview As a Senior R&D Engineer, you will join the SeaScape Research and Development team, working on cutting-edge semiconductor analysis software. You will contribute to the development of ANSYS RedHawk-SC, the industry s first EDA solution built on the SeaScape Elastic Compute Architecture, designed to handle massive datasets and distributed computing. This role requires strong C++ programming skills, problem-solving abilities, and a solid foundation in semiconductor design. Key Responsibilities Software Development & Optimization Design, develop, and optimize high-performance software for semiconductor analysis. Write efficient, scalable, maintainable, and robust code in C++. Implement unit, regression, and system-level tests to ensure high-quality code. Diagnose and fix complex software issues. Collaboration & Process Adherence Work closely with technical leads, engineers, and managers to refine and improve solutions. Learn and follow best practices in software engineering and semiconductor design. Communicate effectively within the team to ensure smooth collaboration. EDA & Semiconductor Analysis Develop expertise in IC Layout specification formats (Oasis, GDS). Work on parasitic extraction, gate/transistor-level design, and power analysis. Optimize EDA software for large-scale simulations and distributed computing. Required Qualifications & Skills Education & Experience: Bachelor s or Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field. 4-6 years of experience in a product-based company. Technical Expertise: Proficiency in C++ for high-performance computing. Strong knowledge of data structures, algorithms, and debugging. Experience working with Linux operating systems. Basic understanding of IC layout specifications (Oasis, GDS). Familiarity with gate-level and transistor-level electronic design. Soft Skills: Ability to learn quickly and work in a fast-paced environment. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications (Nice to Have) EDA & Semiconductor Analysis: Experience with parasitic extraction for advanced semiconductor nodes. Knowledge of transistor-level simulation and gate-level power analysis. Familiarity with IC physical design and RTL optimization. High-Performance Computing & Distributed Processing: Experience with distributed processing, debugging, and optimization. Knowledge of AI/ML, GPU architectures, CUDA, and vectorization libraries (Google Highway). Experience with high-bandwidth networking (InfiniBand). Software Development & Automation: Experience in commercial software development, build automation, and testing. Work on Industry-Leading Technology Build next-gen EDA and semiconductor simulation software. Career Growth Be part of an innovative, research-driven environment. Collaborate & Innovate Work alongside industry experts in high-performance computing & semiconductor analysis. Inclusive & Diverse Culture We believe diverse thinking leads to better outcomes. At Ansys, we commit to excellence, integrity, and innovation Together, we power the future of simulation. Apply Now & Be a Part of Ansys' Innovation Journey!

About Databricks At Databricks, we are passionate about empowering data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating medical breakthroughs. We build and run the world s best data and AI infrastructure platform, enabling our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges whether it's designing next-gen UI/UX for interacting with data or scaling our services and infrastructure across millions of virtual machines. And we re only getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will lead a team of talented engineers to build infrastructure and products at scale for the Databricks platform. Our teams work across diverse domains, including: Resource Management Infrastructure: Power big data and machine learning workloads on a scalable, secure, and cloud-agnostic platform. Reliable, Scalable Services and Client Libraries: Handle massive amounts of data across multiple regions and cloud providers. Developer Tools: Help Databricks engineers operate services across different clouds and environments. Services and Infrastructure at the Intersection of Machine Learning and Distributed Systems. The Impact You Will Have Hire and grow a world-class engineering team, fostering a supportive and collaborative environment. Support engineers career development, providing regular feedback and cultivating future engineering leaders. Ensure high technical standards by implementing effective processes (e.g., architecture reviews, testing) and promoting a culture of engineering excellence. Collaborate with engineering and product leadership to define and execute long-term roadmaps. Coordinate execution and unblock cross-team projects, ensuring timely delivery and alignment with business objectives. What We Look For 12+ years of experience with large-scale distributed systems, including expertise in testing, monitoring, and defining SLAs. Proven track record as a Software Engineering Leader, with experience building and scaling engineering teams from the ground up. Extensive experience managing high-performing software engineering teams. Strong collaboration skills to partner with Product Management, Sales, and Customers in developing innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by over 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and more than 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.

As one of the technology industry's most desirable employers, NVIDIA has been redefining accelerated computing, computer graphics and leading the Artificial Intelligence revolution. NVIDIA's innovation is fueled by its great technology and amazing people. We seek a Senior Power and Thermal Engineer to join our dynamic and fast-paced Silicon Solution Group. As part of the Silicon Solutions Team, we architect and deliver groundbreaking system solutions that integrate all aspects of the system from silicon design, software design to operations and final deployment in multiple market segments that NVIDIA serves. This position offers a unique opportunity to collaborate with multiple organizations in the company and grow your career in a high impact role. We need a passionate, hard-working, and creative individual to architect and productize next generation power and performance controllers. What You Will Be Doing: Responsible for architecting, developing, characterization of next generation power and thermal management features and solutions working with multi-functional teams across the company. Drive methodologies for deployment of features into products. Drive initiatives for power and thermal optimizations spanning across silicon, platform, software, manufacturing, and product systems; for products ranging from largescale datacenters to low-power client devices. Debug and architect solutions for issues seen by customers in the field across a wide range of industries. Influence next generation SW, chip, board, and platform design of products across SOC, GPU and CPUs in Laptops, Servers, and Datacenters Work alongside system architects, designers, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability authorities, ATE engineers, and silicon operations, in a fast-paced, high-energy, collaborative work environment to bring industry-defining products to market. What We Need to See: B. Tech or M. Tech in Electronics Engineering, Computer Science, or related field (or equivalent experience) 4+ years of experience in silicon bring-up, validation, and productization. Experience with power and thermal controllers and management. Expertise and deep understanding in the areas of silicon power, transistor/device physics, power modeling and measurement, active power management is a plus Proficiency in Python, Perl or C programming languages. Self-starter with strong skills in multi-tasking, influencing, communication, presentation, and consensus-building Enthusiastic, responsive, and keen on process improvement With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Qualification : B. Tech or M. Tech in Electronics Engineering, Computer Science, or related field (or equivalent experience)

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.

Experience: 4+ Years (Bachelor s) | 3+ Years (Master s) | 2+ Years (PhD) Company Overview As a leading technology innovator, Qualcomm pushes the boundaries of what s possible to enable next-generation experiences and drive digital transformation, helping to create a smarter, connected future for all. Qualcomm Hardware Engineers collaborate with cross-functional teams to plan, design, optimize, verify, and test cutting-edge products, enabling transformative solutions in the hardware space. Role Overview The SRAM Design Engineer will be responsible for the design, verification, and optimization of SRAM (Static Random-Access Memory) blocks for advanced process nodes. This role requires deep expertise in custom circuit design, low-power methodologies, and process technology trends. The ideal candidate will work on complex memory designs, collaborate with cross-disciplinary teams, and contribute to Qualcomm's next-generation hardware solutions. Key Responsibilities Design and develop SRAM circuits for advanced technology nodes (FinFET and beyond). Perform schematic design, simulation, and verification of memory circuits to meet performance, power, and area (PPA) targets. Optimize designs for low-power, high-speed, and high-density applications. Collaborate with layout engineers to ensure design compliance with foundry design rules and assist in layout optimization. Analyze and resolve design for manufacturing (DFM) and yield issues. Work closely with cross-functional teams (architecture, verification, and technology teams) to meet design specifications and performance requirements. Utilize SPICE simulations and other EDA tools to validate circuit functionality and robustness under process, voltage, and temperature (PVT) variations. Contribute to the post-silicon bring-up and debugging of memory-related issues. Qualifications Minimum Requirements: Bachelor s degree in Computer Science, Electrical/Electronics Engineering, or a related field and 4+ years of relevant work experience. OR Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field and 3+ years of relevant work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, or a related field and 2+ years of relevant work experience. Technical Skills: Expertise in SRAM design, simulation, and verification. Strong knowledge of circuit design principles, including timing, noise, and power analysis. Experience with advanced process technologies (FinFET, 7nm, 5nm, 3nm). Proficiency with SPICE-based simulators and EDA tools for circuit analysis. Understanding of memory architecture, power management techniques, and design for yield (DFY) methodologies. Familiarity with DFM practices, chip integration, and physical design constraints. Preferred Qualifications: Experience in low-power SRAM design and assist circuits (read/write assist). Knowledge of self-repairing memories and redundancy schemes. Exposure to silicon validation, post-silicon debug, and memory characterization. Excellent problem-solving and communication skills.

About the Job Join a diverse team that pushes boundaries by developing custom silicon solutions powering the future of Google's direct-to-consumer products. Contribute to the innovation behind products loved by millions worldwide and help shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team blends the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies to make computing faster, seamless, and more powerful, ultimately improving people s lives through technology. Responsibilities Define ASIC power management architecture for an SoC, including image compute, CPU/GPU functions, ensuring maximum performance under power and thermal constraints. Prototype firmware and validate the next-generation SoC power management system at various design stages. Analyze implementation and models, and test the performance of power management solutions. Produce detailed documentation on the proposed power management implementation and conduct trade-off analyses for engineering reviews and product roadmap decisions. Collaborate with software teams and the power architecture team to build system-level designs and methods for optimized power management. Minimum Qualifications Bachelor s degree in Electrical Engineering or equivalent practical experience. 8 years of experience in power management or post-silicon measurements and validation. 3 years of experience with power management validation. Preferred Qualifications Master s degree or PhD in Electronics, Computer Engineering, or Computer Science, with an emphasis on computer architecture and performance/power analysis. Solid knowledge of Dynamic Voltage Frequency Scaling (DVFS), idle power management, and system mitigation strategies. Strong understanding of how software and architectural design decisions affect the power and thermal behavior of systems, including thermal mitigation, scheduling, and cross-layer policy design.

Minimum Qualifications: Bachelor s degree in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. At least 5 years of experience in software development, specifically within consumer electronics or embedded systems. A minimum of 3 years of experience in leading ASIC architecture decisions from a software perspective. Proficiency with Linux kernel, bootloaders, SoC, low-power management frameworks, or performance analysis. Preferred Qualifications: Master s degree or PhD in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or a related discipline. 10 years of experience in software design and development, particularly with software layers in ASIC (e.g., boot processes, drivers, embedded firmware, libraries, and APIs for applications). Familiarity with Android OS or similar platforms, especially in power management. Strong understanding of hardware-software interactions across various hardware blocks, including CPUs and accelerators. About the Role: Join a dynamic, diverse team that is pioneering the development of custom silicon solutions powering the future of Google's direct-to-consumer products. As part of the team, you will contribute to groundbreaking innovations in products used by millions globally, shaping the next generation of hardware experiences for optimal performance, efficiency, and integration. As the ASIC Platform Software Architect, you will be instrumental in translating software product requirements and use cases into specific hardware blocks or sub-systems. In this role, you will define the direction of the software team, guiding them in the face of complex constraints. You will work closely with hardware architects to define system architectures for hardware blocks and collaborate with the implementation team to outline solutions. You ll also help influence design decisions to ensure software requirements are met, negotiating hardware/software trade-offs for optimal results. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team integrates the best of Google AI, software, and hardware to create transformative user experiences. We focus on researching, designing, and developing new technologies and hardware to make user interaction with computing faster, more seamless, and more powerful. Whether we re innovating on form factors, advancing sensors, or redefining interaction methods, the Devices & Services team is dedicated to improving people's lives through technology. Responsibilities: Collaborate with stakeholders to identify user experience needs and map them to hardware and software solutions. Design architectures and software interfaces that empower developers to leverage hardware accelerators and other intellectual property (IP). Analyze hardware component interactions, troubleshoot issues, propose trade-off solutions, and drive to resolution. Contribute to the design and improvement of hardware from one generation to the next, applying insights from past productization efforts and reducing technical debt.

Overview: Collins Aerospace is looking for a talented Software Verification Lead Engineer to join the Navigation and Advanced Technology team. In this role, you will be responsible for performing validation and verification for critical avionics systems, focusing on protocols and applications like Maintenance, OMS, and Dataload. You will collaborate with senior developers and architects to design scalable, extensible, and sustainable solutions, while ensuring the highest standards of quality and performance. Primary Responsibilities: Avionics DAL A Product Verification: Verify avionics products in the CNS (Communication, Navigation, and Surveillance) domain, ensuring compliance with industry standards and customer requirements. Tool Development & Test Design: Develop common supporting tools necessary for development and verification activities, as well as create validation tests for avionics systems. Collaboration with Cross-functional Teams: Work closely with architects and senior developers to create scalable solutions, ensuring that new technologies are effectively integrated into the system architecture. CI/CD Pipeline Management: Build CI/CD pipelines and collaborate with the DevOps team to ensure streamlined deployments. Troubleshoot and resolve build issues while supporting deployment processes. Basic Qualifications: Education: BE/B.Tech/ME/M.Tech in Engineering. Experience: 6-8 years of experience in avionics systems and software development. Technical Skills: Proficiency in Python, C/C++, and Matlab/Simulink. Strong understanding of Avionics Systems/Software Architecture, including CNS, FMS, FCS, or Displays. Familiarity with DO-178B/C software standards. Avionics Domain Knowledge: Experience in Communication, Navigation, and Surveillance systems, including protocols for voice and data communications, satellite-based navigation, weather detection, traffic awareness, and collision avoidance. About Collins Aerospace: Collins Aerospace, a Raytheon Technologies company, is a global leader in aerospace and defense solutions. We offer advanced technology and services across a wide array of civil, military, and government missions. Our products are integral to the safety and efficiency of modern aviation, from emergency power systems to reliable cabin controls and quieter engines. Joining our team means being part of a mission-driven company that innovates every day to deliver safer, smarter, and more efficient aerospace systems. Collins Aerospace Diversity & Inclusion Statement: Diversity drives innovation, and inclusion drives success. At Collins Aerospace, we foster a culture that values diversity of thought and experience, which enables us to tackle the toughest challenges in our industry. We are committed to ensuring all employees have the opportunity to share their ideas and passions, paving the way for limitless possibilities. Benefits Package: Insurance: Group Term Life Insurance, Group Health Insurance, Group Personal Accident Insurance. Leave Entitlements: 18 days of vacation and 12 days of contingency leave annually. Employee Programs & Work-life Balance: Employee Scholar Program, work-life balance initiatives, car lease program, National Pension Scheme, Leave Travel Allowance (LTA), and meal vouchers. Additional Benefits: Fuel and maintenance/driver wages, and more! Ethical & Safety Commitment: Collins Aerospace prioritizes strong ethical practices and safety. All positions in India require a background check, which may include a drug screen (for operations positions). Why Collins Aerospace? At Collins Aerospace, we are redefining aerospace. Join our team and be part of a company that plays a critical role in modern flight, providing innovative solutions that enhance safety, efficiency, and the travel experience for millions of passengers worldwide. Qualification : BE/B.Tech/ME/M.Tech with Understanding of Avionics Systems/Software Architecture CNS, FMS, FCS or Displays.

About the Infrastructure AI Center of Excellence (COE): The Infrastructure AI Center of Excellence (COE) is a dynamic team focused on leveraging Artificial Intelligence (AI) to enhance the efficiency of IBM Infrastructure employees and improve customer experiences. Together with the AI Guild, we act as a hub for knowledge sharing, collaboration, and skill development related to AI. We aim for two core objectives: VELOCITY and SAFETY accelerating AI project rollouts while ensuring that they are executed within the safe guardrails of AI usage at IBM. Role Overview: Are you ready to make a significant impact in the world of AI and cloud solutions? As an AI & Cloud Solutions Architect, you will play a crucial technical leadership role within our team. This position is responsible for designing and architecting innovative, scalable, and secure cloud-based AI services. You will lead architectural oversight, create technical roadmaps, and establish best practices for AI solution development, ensuring both technical excellence and scalability across projects. Your expertise will guide the implementation of complex AI solutions, from system architecture to deployment, shaping the technical direction of our AI efforts. You will collaborate closely with development teams and ensure that all solutions meet IBM s standards for security, performance, and reliability. Responsibilities: Design & Architecture: Lead the design of architectural frameworks for AI and cloud-based solutions. Create scalable, secure, and maintainable AI solutions for various projects. Technical Roadmaps: Develop and maintain technical roadmaps for AI implementations across IBM Infrastructure. Architectural Oversight: Provide oversight and technical direction for complex AI projects, ensuring alignment with architectural standards. Best Practices & Standards: Define technical standards, patterns, and best practices for AI solution development and deployment. Technology Evaluation: Stay ahead of technological trends, recommending new frameworks and technologies for AI-based implementations. Collaboration: Work closely with development teams to ensure compliance with architectural guidelines and to uphold technical excellence. Documentation & Specification: Create comprehensive architecture documentation, including technical specifications and diagrams. Risk Mitigation: Identify, assess, and mitigate technical risks related to AI solution architectures. API & Integration: Design and maintain RESTful APIs and event-driven architectures for AI model integration. Required Education and Experience: Bachelor s Degree in a relevant technical field. 12-15 years of experience in software development, with a strong focus on technical architecture. Expertise in AI frameworks like TensorFlow, PyTorch, LLMs, and Generative AI. Strong background in cloud architecture patterns and microservices design. Experience with distributed systems architecture and design patterns. Expert knowledge in backend technologies such as Node.js, Python, Java, and database management. Proven experience in designing RESTful APIs and event-driven architectures. Deep understanding of cloud technologies (e.g., Kubernetes, Kafka, Object Storage) and container technologies. Security and compliance expertise in cloud-based AI systems. Experience in designing scalable cloud services and integrating AI models into cloud environments. Preferred Experience: Experience with emerging AI technologies and new architectural patterns. Knowledge of enterprise architecture frameworks. Background in hybrid cloud solutions and experience in multi-cloud environments. Performance optimization and scalability design expertise. Proficient in technical documentation and diagramming. Strong experience with API design and management. Familiarity with event-driven architecture. Experience with Infrastructure as Code (IaC) and automation tools. Awareness of AI governance and responsible AI principles. Proven success in implementing large-scale AI solutions. About IBM Systems: IBM Systems helps IT leaders reimagine their infrastructure. Through cognitive systems that learn and adapt, IBM empowers clients to innovate with confidence while avoiding IT complexities. Our products power the most important industries globally, and our clients are the future architects of business. Join IBM Systems to help build our leading-edge technology portfolio optimized for cloud computing and cognitive business solutions. Be part of a team that is shaping the future of AI and cloud infrastructure. What We Offer: Competitive compensation and comprehensive benefits. Flexible work arrangements and a collaborative environment. Opportunities to work on cutting-edge AI and cloud technologies. A chance to impact the development of large-scale AI solutions in the infrastructure space. A supportive and inclusive culture focused on innovation and growth. If you are ready to take on a leadership role and help shape the future of AI in infrastructure, we encourage you to apply and join our team at IBM! Qualification : Bachelor's Degree