Power AND Performance Architect Jobs in Bengaluru

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Job Title: Lead Associate Software Engineering (COBOL) Location: Bengaluru Employment Type: Full-Time Level: Senior Engineer About BetaNXT BetaNXT is building the future of connected wealth management infrastructure, combining real-time data capabilities with deep industry expertise to elevate the advisor and investor experience. Through the power of our trusted platforms Beta, Maxit, and Mediant we are modernizing legacy systems and solving the most complex integration challenges in wealth management. Our mission: streamline operations, enhance productivity, and unlock enterprise scalability for financial institutions. About the Role We are looking for a Lead Associate Software Engineering with strong experience in MicroFocus and Veryant COBOL to join our product engineering team. In this hands-on leadership role, you ll design, build, and modernize high-performance systems that support critical financial workflows in both client/server and cloud environments. This is an excellent opportunity for someone who thrives in legacy modernization, enjoys solving complex integration problems, and is passionate about writing clean, secure, and scalable code. Key Responsibilities Design and develop new features for enterprise systems using MicroFocus/Veryant COBOL. Refactor and modernize legacy code for scalability, performance, and maintainability. Architect solutions for new and existing applications in client/server and cloud-hosted environments. Perform code reviews, ensure secure coding practices, and guide team members on design and implementation. Collaborate with cross-functional Agile teams (Product, QA, DevOps) to deliver end-to-end technical solutions. Write clean, modular, and well-documented code; enforce coding standards across the team. Translate user requirements into effective software design. Ensure high code quality and application performance through best practices and testing. Monitor production systems, support deployments, and troubleshoot full-stack issues. Document system architecture, APIs, and technical specifications. Required Qualifications Bachelor s or Master s degree in Computer Science, Software Engineering, or related field. 3 5 years of hands-on experience in software development, with recent focus on COBOL-based systems. Experience with MicroFocus/Veryant COBOL and ISAM file systems. Hands-on knowledge of GitLab for source control, CI/CD pipelines, and version management. Proven experience leading Agile development teams and mentoring junior engineers. Solid understanding of the software development life cycle (SDLC) and Agile methodologies. Strong problem-solving skills and the ability to work independently as well as in a team environment. Demonstrated success in delivering complex projects from design through deployment. Preferred Qualifications Experience with: XML, VS Code IDE PowerShell or other scripting languages Exposure to application performance tuning, monitoring tools, and system health diagnostics. Knowledge of financial services or experience working with mission-critical enterprise platforms. Personal Attributes Self-starter with a growth mindset and eagerness to learn new technologies. Comfortable working across legacy systems and modern cloud-based solutions. Strong attention to detail and commitment to quality. Thrives in fast-paced, collaborative environments. Passion for solving large-scale technical challenges. Be part of an organization modernizing wealth management infrastructure at scale. Work on mission-critical systems used by top-tier financial institutions. Collaborate with a high-performing, globally distributed engineering team. Grow your career in an environment that values innovation, autonomy, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Software Engineering, or 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

Frontend Engineer Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, dedicated to making AI accessible and impactful for Bharat. We specialize in developing high-performance, cost-effective AI agents tailored to meet the needs of the Indian market, helping enterprises unlock new opportunities and build deeper customer connections. Join us and help shape the future of AI for India and beyond. Role Overview We are looking for a Frontend Engineer skilled in ReactJS and TypeScript to join our growing team. You will play a pivotal role in developing and optimizing dynamic, user-friendly web applications that power AI-driven products. Collaborating with backend engineers, designers, and AI/ML teams, you will create intuitive and scalable user interfaces that deliver exceptional user experiences. Key Responsibilities Frontend Development: Design, build, and maintain scalable web applications using ReactJS and TypeScript. Reusable Components: Build and integrate reusable UI components and frontend libraries to streamline development. API Integration: Work closely with backend engineers to efficiently consume and integrate RESTful APIs into the application. Performance Optimization: Ensure application performance, responsiveness, and cross-browser compatibility. UI/UX Best Practices: Implement best practices for UI/UX, accessibility, and responsive design to enhance the user experience. Code Quality: Maintain high-quality code through unit testing, code reviews, and adherence to coding standards. Collaboration: Partner with designers and product teams to create seamless, user-centered interfaces. Continuous Improvement: Drive continuous improvements in frontend architecture, performance, and maintainability. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (2024/2025 graduates). Frontend Development: Strong proficiency in ReactJS and TypeScript. State Management: Experience with React Query, Redux, or Context API for state management. API Integration: Hands-on experience with RESTful APIs, ensuring seamless integration into frontend applications. UI/UX Best Practices: Deep understanding of responsive design, performance optimization, and accessibility in web applications. Version Control: Familiarity with Git and version control workflows for collaborative development. Problem Solving: Strong analytical, debugging, and problem-solving skills. Soft Skills: Excellent communication, teamwork, and problem-solving abilities. Good to Have (Preferred Experience) Next.js or React Frameworks: Experience with Next.js or other React frameworks for building server-side rendered applications. Component Libraries: Familiarity with component libraries like Material-UI, TailwindCSS, or Chakra UI for faster development. Cloud Exposure: Exposure to cloud platforms (AWS, GCP, or Azure) or containerization tools like Docker and Kubernetes. CI/CD Experience: Knowledge of CI/CD pipelines for automating testing and deployment of frontend applications. Open Source Contributions: Contributions to open-source projects or a strong GitHub portfolio showcasing your frontend work. Impactful Work: Contribute to building generative AI applications that are shaping the future of technology in India. Innovative Team: Work alongside a talented team of AI experts, engineers, and designers who are driving cutting-edge innovations. Growth Opportunities: Be a key player in a fast-growing AI startup, with ample opportunities for personal and professional growth. Cutting-edge Technologies: Work with the latest in AI, machine learning, and cloud technologies to create impactful products. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (2024/2025 graduates).

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 - 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.

Senior Memory Design Engineer Company Arm Location Noida, India Job Description This opening is for a Senior Memory Design Engineer in our PHYSICAL IP MEMORY group in Noida. We work on innovative memory architectures in leading-edge technology nodes to enable the best Arm Systems across all markets. As a memory design professional, this position is a rare opportunity to work with our successful circuits, characterization, and layout team, and gain a deep understanding of memory usage in SoCs based on Arm cores. You will discover a wide variety of circuit innovations while working on different types of memories in cutting-edge process technologies. Responsibilities In this role, you will be working in the following areas: Work on memory architecture development in the latest technologies. Transistor-level full-custom design and collaboration with the physical design team for layout realization. Develop new design features and perform circuit/layout optimizations to meet Performance, Power, and Area targets. Lead memory design verification and characterization activities. Ensure high-performance memory designs with the lowest possible power, as needed for Arm CPUs, GPUs, and SOCs. Required Skills and Experience 5-8 years of proven experience in memory design. Strong interest and command of basic electronics (Diodes, RC Circuits, CMOS, etc.). Solid understanding of digital electronics fundamentals (Flip-Flops, Latches, Decoders, Multiplexers). Understanding of setup and hold time concepts. In-depth knowledge of memory fundamentals, especially single-port SRAM: Circuit design (Bitcell, WL decoder, Sense Amp, Self-time, Assist, Low power features, DFT features). Good understanding of technology trade-offs in deep sub-micron technologies. Self-motivated, hardworking, and positive outlook. Strong organizational skills with attention to detail. Nice-to-Have Skills and Experience Understanding of advanced process technology nodes and memory product layout implementation. Experience with shell scripting, machine learning (ML), and automation. Knowledge of statistical simulations (e.g., Monte Carlo). What Arm Offers Arm is committed to global talent acquisition and offers an attractive relocation package. With offices worldwide, Arm is a diverse organization of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, and meritocratic workplace where everyone can grow and succeed, we encourage our people to make exceptional contributions to Arm's success in the global marketplace. Accommodations at Arm If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. By sending the requested information, you consent to its use by Arm to arrange appropriate accommodations. All accommodation requests will be treated with confidentiality, and information will only be disclosed as necessary to provide the accommodation. Examples of support include breaks between interviews, having documents read aloud, or office accessibility. Hybrid Working at Arm Arm s hybrid working approach is designed to create an environment that supports both high performance and personal wellbeing. We believe in bringing people together face-to-face to enable faster work while recognizing the value of flexibility. Hybrid working patterns depend on team and role requirements, which will be discussed upon application. Some flexibility might be limited by legal, regulatory, tax, or other considerations. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to fostering an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Senior Emulation Engineer Company Arm Location Bengaluru, India Job Overview Arm s Central Emulation team is excited to welcome experienced Emulation experts to join the team in Bengaluru. You will collaborate with design and verification engineers across the UK, US, India, and France to support advanced Compute Subsystems and SoC projects. Arm is building a team to develop exceptional silicon demonstrators based on Arm s IP compute sub-system solutions, targeting premium mobile, infrastructure, and automotive markets. Using the latest technology nodes (e.g., 3nm) and new 3D packaging innovations, Arm s goal is to demonstrate industry-leading performance by architecting, designing, implementing, and fabricating cutting-edge silicon test chips. This initiative brings together innovative talent and expertise from across the semiconductor industry to shape the next generation of compute on Arm devices. Responsibilities Collaborate with end users to understand system use cases and guide validation efforts. Ensure tight integration between hardware qualification and final application use models. Work in an exciting emulation environment using hybrid and virtual solutions, integrating industry-standard high/low-speed IO IPs into subsystems and SoCs. Engage from early architecture and design phases to pre-silicon validation and post-silicon validation on emulation platforms. Drive pre-silicon emulation across all SoC teams. Ensure design quality and debuggability by collaborating closely with the design team. Support architecture, verification, system validation, performance, power, and DFT teams with insights from performance and power characterization. Develop comprehensive pre and post-silicon test plans in collaboration with verification teams. Develop tests, create bare-metal drivers for industry-standard IO IPs, and build frameworks to enable scalable testing across multiple ASIC projects. Required Skills and Experience Bachelor s degree (BE/BTech) in Electronics Engineering. 8+ years of experience in Pre-Silicon Validation and Emulation/FPGA-based platforms. Experience developing C/C++/SystemC tests for HDL-HVL co-emulation platforms. Proficiency in IO bus protocols such as I2C, SPI, USB, and/or PCIe. Experience with SoC debugging tools such as JTAG and Trace32. Nice-to-Have Skills and Experience Knowledge of ASIC design and prototyping flows. Experience with SystemC/C/C++ and UVM/SystemVerilog (SV) verification languages. Familiarity with domains such as PCIe, Flash, Memory, CPU, GPU, and DRAM. Hands-on experience with emulation toolchains such as Zebu, Veloce, or Palladium. What Arm Offers Arm is committed to global talent acquisition, offering an attractive relocation package. With offices worldwide, Arm is a diverse organization of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, meritocratic, and open workplace where everyone can thrive, Arm encourages its people to make exceptional contributions to its global success. #LI-KR2 Qualification : Bachelors degree (BE/BTech) in Electronics Engineering.

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

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 seeking a passionate, highly motivated, and creative ASIC Design Engineer to design and implement PCI Express controllers for the world s leading SoCs and GPUs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as the AI computing company. What you ll be doing: Own the micro-architecture and RTL development of design modules for PCI Express Controllers. Micro-architect features to meet performance, power and area requirements. Work with HW and system architects to define critical features. Help verification teams to verify the correctness of implemented features. Collaborate with timing, VLSI and Physical design teams to ensure design meets timing, interface requirements and is routable. Enable FPGA and software teams to prototype the design and ensure that software is tested. Work on post-silicon verification and debug. What we need to see: BS / MS or equivalent experience. 3+ years of design experience. Experience in micro-architecture and RTL design of complex units. Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, Verdi). Deep understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor-planning, ECO, bring-up & lab debug. Expertise in Verilog. Ways to stand out from the crowd: Design experience in High Speed IO controllers like PCI Express. Good knowledge of PCI Express Protocol - Gen 3 and above. Good debugging and problem solving skills. Scripting knowledge (Python/Perl/shell). Good interpersonal skills and ability & desire to work as a teammate. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, 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, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Hybrid Qualification : BS / MS or equivalent experience.

We are looking for a System Software Architect Programmable Vision Accelerator. As the market leader in deep learning and parallel computing, NVIDIA is seeking an expert system software architect to lead the design and implementation of firmware and driver stack for NVIDIA's Programmable Vision Accelerator (PVA) engine in the Tegra SoC platform. As a Software Architect, you will join a team of software engineers to create and evolve an essential part of the software stack responsible for scheduling and execution of highly optimized computer vision and machine learning kernels for specialized DSP hardware. You will use your design abilities, coding expertise, and creativity to help deliver innovative real-time firmware and kernel mode drivers for a low power, high performance computer vision accelerator engine. You will be architecting and developing new features and improvements to realize the groundbreaking potential of NVIDIA mobile systems, ranging from self-driving cars, intelligent video analytics and autonomous mobile robotics. You will need to demonstrate excellent technical leadership, communication, interpersonal, and analytical skills as well as a real passion for performance-oriented software engineering. If this sounds like a fun challenge, we want to hear from you! What you will be doing: Evolve and define software architecture for future NVIDIA's Programmable Vision Accelerator (PVA) chips and enhance the functionality of currently shipping products. Design and write custom embedded software for PVA engine to meet product and hardware requirements at the SoC level. Help defining forward-looking strategy and improvements to the PVA algorithms and system architecture. Review hardware specifications and map algorithms to the architecture. Participate in the bring-up of the new generation of the world's most advanced SoC. Collaborate closely with other teams and software/hardware architects across NVIDIA to support the architecture, design, creation, integration, and validation of PVA software under a common SoC umbrella. Provide technical support and guidance for internal and external customers. Mentor and guide technical development of the less experienced team members What we need to see: College degree (preferably PhD or MS) in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience 10+ years of working experience in embedded industry, including 5+ years in technical leadership role Deep understanding of SoC principles, general systems architectures, operating systems, device drivers, memory management, multithreading, and real-time scheduling. Deep understanding and working experience with embedded technologies including DSP, computer vision and image/signal processing. Excellent software development skills (C, C++) and outstanding problem-solving capabilities. Proven expertise in architecting embedded software and development of highly optimized code for DSP, SIMD and/or VLIW processors Experience with embedded Linux and/or QNX. Outstanding interpersonal skills with ability to work in a global and diverse team operating in a fast-paced environment. Good understanding of safety-critical software principles with experience in automotive or other highly regulated industries Ways to stand out from the crowd: Experience with ISO 26262 and IEC 61508 or equivalent quality/safety processes. Understanding of software safety and safety development processes is a major plus. Consistent record to effectively guide and influence in a technically strong dynamic environment. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. Qualification : College degree (preferably PhD or MS) in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience

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.

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.

General Summary: Qualcomm is the industry leader in integrated chipsets that power advanced mobile devices. We are expanding our expertise in wireless technologies and advanced multimedia capabilities to continue delivering high-performance multimedia systems with low power consumption and competitive cost, while maintaining strong feature differentiation. Join Qualcomm India s Multimedia Systems Team and work at the cutting edge of performance modeling, system architecture, and evaluation of camera, video, and computer vision hardware IPs. This role offers the chance to collaborate on image signal processors (ISP), video codec hardware, and advanced algorithms for computer vision and image/video processing. Key Responsibilities: As part of the Systems and R&D team, your responsibilities may include the following: Design and maintain transaction-accurate/static models for multimedia IPs. Perform performance validation and debugging for pre- and post-silicon platforms. Conduct architecture analysis for system performance optimization. Define use-case flows for multimedia applications. Understand product features and assess their impact on system performance. Collaborate with the product marketing team to recommend feature support configurations for specific system setups. Minimum Qualifications: Bachelor s degree in Electrical Engineering, Computer Science, or a related field with 4+ years of relevant experience, or Master s degree with 3+ years of experience. Strong analytical and problem-solving skills with implementation experience. Solid understanding of SoC infrastructure (NoC, Memory Controller, DDR, QoS, MMU). Systems mindset with a focus on power and performance optimization. Experience in performance modeling/verification and debugging system performance issues. Proficiency in C, SystemC, and familiarity with UNIX/Win/Linux computing platforms. Preferred Qualifications: Background in system architecture, hardware IP micro-architecture, or embedded software/firmware. Experience in image/video signal processing. Knowledge of image sensor technology and codec standards. Educational Requirements: Required: Bachelor s degree in Computer Science or Electrical & Computer Engineering. Preferred: Master s degree in a related field. Qualification : Bachelors in Computer science or Electrica

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.