Asic Implementation Jobs in Bengaluru

Associate Project Manager Experience: 1 4 years Location: Bangalore Employment Type: Full-Time About Kapture CX Kapture CX is a leading AI-powered SaaS platform that helps enterprises automate and enhance customer experience. Headquartered in Bangalore, we operate globally across India, USA, UAE, Singapore, Philippines, and Indonesia. Role Overview We are seeking an Associate Project Manager to oversee the end-to-end delivery of CRM and ticketing platform implementations. You will manage projects from initiation to completion, ensuring timely delivery, budget adherence, and alignment with business objectives. Key Responsibilities Project Lifecycle: Manage end-to-end CRM implementation projects for multiple clients, ensuring business requirements are translated into technology solutions. Documentation: Develop and maintain critical project assets including BRD, SOW, project plans, and resource plans. Risk Management: Monitor progress, identify risks, and implement mitigation strategies while reviewing deliverables for quality and consistency. Stakeholder Management: Communicate status updates and production issues to stakeholders; interact with clients to manage expectations. Cross-functional Coordination: Lead resource management and collaborate with both technical and non-technical teams for seamless execution. Requirements Experience: 1 5 years managing software implementation projects (CRM, ERP, or ServiceDesk preferred). Education: B.E./B.Tech. in Computer Science or a related engineering field is preferred. Technical Skills: Proficiency with Jira and a basic understanding of APIs and technology integrations. Certifications: PMP, CSM, or PRINCE2 certifications are a significant advantage. Soft Skills: Exceptional planning, estimating, and relationship-building skills with a strong techno-functional mindset. Qualification : B.E./B.Tech. in Computer Science or a related engineering field is preferred

Associate Manager / Manager Business Finance Location: Bangalore Work Type: Full-Time About Ninjacart Ninjacart is India s largest agri-tech platform, revolutionizing the agri ecosystem through technology, data, and innovation. Over the last decade, our India-first solutions have transformed how fruits and vegetables move from farms to consumers plates, empowering farmers, traders, and retailers in ways never done before. We aim to be the digital network for global agri commerce, solving structural challenges such as information asymmetry, payment inefficiencies, distribution gaps, and market discovery for buyers and sellers. With over $350 million in funding from investors including Walmart Group, Tiger Global, Accel, Syngenta, and others, Ninjacart is recognized as one of Top 25 Startups to Work For. We foster a results-driven, entrepreneurial culture where leaders enjoy autonomy, tackle large-scale challenges, and drive real impact. Our products Ninjacart, Ninja Mandi, Ninja Global, Ninja Kirana, and Ninja Kisaan cater to all segments of the agri value chain. Our mission is to build the most trusted, efficient, and inclusive AgriTrade Network in India. Role Overview We are seeking a strategic, analytical, and hands-on Business Finance Manager to join our Business Finance team. As a P&L owner, you will analyze financial data, prepare insightful reports, and provide recommendations that support strategic decisions and business growth. Key Responsibilities Financial Analysis & Reporting: Analyze financial data, create models, and prepare reports to support business decisions. Operational & Strategic Planning: Translate the operating plan into a financial plan with measurable milestones; track performance against targets. Variance Analysis & Insights: Analyze past results, perform variance analysis, identify trends, and recommend corrective actions. KPI Design & Implementation: Define key metrics to monitor business performance and provide early signals for stakeholders. Process Improvement: Develop and standardize reporting tools, dashboards, and ad-hoc financial models to enhance efficiency. Cross-Functional Collaboration: Work with teams across Finance, Operations, and Strategy to gather data requirements and ensure accuracy. Market Research & Valuation: Conduct market research, data mining, business intelligence, and comparative valuations to support strategic initiatives. Qualifications & Skills Education: B.Tech or MBA in Finance, Accounting, or related field; candidates pursuing CFA are welcome. Experience: Less than 2 years of relevant finance experience. Skills & Attributes: Strong analytical and quantitative skills with high attention to detail. Understanding of financial analysis, basic accounting principles, and P&L management. Excellent stakeholder management, organizational, and interpersonal skills. Ability to work independently, take ownership, and drive measurable business impact. As a Ninja, you will take ownership of impactful projects, collaborate with a high-energy team, and contribute to transforming India s agri ecosystem. If you are resilient, smart, and ambitious, this is your chance to make a real difference. Join Ninjacart. Pioneer change. Create better lives. Qualification : B.Tech or MBA in Finance, Accounting, or related field

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

Senior Manager Full Stack Engineering Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we blend the agility of a startup with the scale of a Fortune 100 company. Our technology teams drive transformation across banking by building next-generation financial products that are secure, user-centric, and powered by cutting-edge engineering practices. We are makers, breakers, doers, and thinkers working together to reinvent consumer finance through technology, modern design, and data science. As a company that builds its own software and platforms, we re constantly innovating to help over 65 million customers bank better. About the Role As a Senior Manager Full Stack Engineering, you ll lead multiple teams building highly available, scalable, and secure platforms and applications. You ll be at the forefront of technical design, architecture, and implementation, helping your teams deliver impactful solutions across web, mobile, backend services, and cloud infrastructure. This is a hands-on leadership role ideal for an experienced engineering leader who still loves to write code, mentor engineers, and contribute directly to architecture and product evolution. What You ll Do Lead full-stack engineering teams delivering cross-functional, multi-platform applications using modern cloud and open-source technologies. Own end-to-end technical design, architecture decisions, and delivery strategy for critical systems. Partner with architects, product managers, and cross-functional leaders to understand requirements, prioritize needs, and develop scalable solutions. Guide and mentor engineers, driving technical excellence, performance, and career growth across teams. Drive Agile delivery, ensuring projects meet timelines and quality standards while promoting DevOps best practices. Champion and enforce best practices in secure coding, architecture, compliance, and accessibility. Collaborate with internal and external stakeholders to align technology vision with business goals. Manage full software development lifecycle: planning, estimation, implementation, deployment, and support. Foster a culture of engineering excellence, continuous learning, and experimentation. Basic Qualifications Bachelor s Degree in Computer Science, Engineering, or a related field 8+ years of experience in software development, with a focus on full-stack systems 5+ years of experience managing software development teams through full release cycles Proven track record of leading Agile teams and delivering high-impact technology projects 5+ years of people management experience, including mentoring and team scaling Preferred Qualifications Master s Degree in Computer Science, Engineering, or Business 10+ years of software engineering experience in large-scale, distributed systems 6+ years of experience applying Agile methodologies (Scrum, Kanban, SAFe) Hands-on experience with some or all of the following: Languages: Java, Python, Go, JavaScript, Node.js Frontend: React, AngularJS, HTML5, CSS Cloud: AWS, Azure, GCP (AWS preferred) DevOps: CI/CD, Docker, Kubernetes, Terraform Databases: NoSQL (MongoDB, Cassandra), SQL, Redshift, Snowflake Strong understanding of accessibility standards and building inclusive digital products Experience with Big Data, event-driven architectures, and RESTful APIs Passion for mentoring, technical excellence, and building diverse, high-performing teams Join a team that's redefining how software powers banking Build next-gen cloud-native applications from scratch Work on meaningful problems with direct customer impact Thrive in a collaborative, transparent, and inclusive culture Access top-tier learning opportunities, technical conferences, and internal mentorship Qualification : Masters Degree in Computer Science, Engineering, or Business

Plant HR Executive / Generalist Location: Bengaluru Department: Plant HR Designation: Executive Experience: 3 to 4 Years Education: MSW / MBA (HR) Job Summary As a Plant HR Executive at Sansera Engineering, you will be responsible for supporting a wide range of HR activities within the manufacturing facility. This includes manpower planning, grievance handling, payroll coordination, compliance, and employee engagement. The role requires a hands-on HR professional who can balance administrative efficiency with employee-centric support. Key Responsibilities 1. Floating Manpower Management Manage timely recruitment and deployment of contract/floating manpower. Liaise with manpower agencies to ensure optimal workforce availability for all shifts. 2. Grievance Handling Serve as the first point of contact for contract employee issues. Address and resolve grievances in a timely, fair, and policy-compliant manner. 3. MIS Reporting Generate and maintain monthly reports on attendance, manpower, attrition, and recruitment. Support HR planning with data insights and dashboards. 4. Payroll Support Assist in attendance reconciliation, leave tracking, and overtime validation. Coordinate with the payroll team to ensure accurate and timely salary processing. 5. Facility Operations (Canteen, Transport & Security) Monitor and manage daily operations in coordination with service vendors. Ensure SLA adherence and address employee feedback related to these services. 6. Employee Engagement & Communication Organize engagement activities, cultural events, and welfare initiatives. Support the creation of an inclusive and motivated work environment. 7. General Administration Oversee housekeeping, stationery, and basic facility maintenance. Ensure compliance with safety, hygiene, and company policies. 8. Continuous Improvement (Kaizen) Encourage employee participation in Kaizen initiatives. Track and document implementation of improvement suggestions. Skills & Competencies Strong interpersonal and communication skills. Proficient in MS Office (Excel, Word, PowerPoint). Basic knowledge of labor laws, HR compliance, and statutory requirements. Effective problem-solving and coordination abilities. Ability to independently manage field-level and administrative responsibilities. Qualification : MSW / MBA (HR)

Position: Product Designer - 2 Location: Bangalore Department: Zetwerk Corporate About Zetwerk Zetwerk is a global manufacturing leader delivering high-quality industrial and consumer products worldwide. With over 10 state-of-the-art facilities across India, the US, Mexico, and Europe, and a supplier network spanning Southeast Asia and Latin America, we offer end-to-end manufacturing solutions combining global standards with local expertise. Our tech-enabled, flexible supply chain enables customized manufacturing strategies such as reshoring, nearshoring, and friendshoring tailored to product, market, and customer needs. Our proprietary Manufacturing Operating System (ZISO) powers real-time supply chain visibility, quality control, efficient logistics, and project management. Backed by prominent investors including Khosla Ventures, Accel, and Sequoia, we recorded an annual turnover exceeding 15,000 crore in FY 2024. Key Responsibilities Own design projects from concept through execution, managing scope and deadlines independently. Collaborate closely with product managers and engineers to identify user problems and develop effective design solutions. Create user flows, wireframes, interactive prototypes, and high-fidelity designs that translate ideas into seamless user experiences. Conduct user research and analytics deep dives; leverage findings to refine designs and improve usability. Partner with developers to ensure accurate and functional design implementation, negotiating trade-offs when faced with technical constraints. Contribute to and maintain the company design system, co-building reusable components with engineering teams. Actively participate in design critiques, reviews, stand-ups, and cross-functional team sessions. Mentor junior designers, fostering a culture of craftsmanship, constructive feedback, and design excellence. Job Requirements Bachelor s or Master s degree in Design or related field. 4 6 years of professional product design experience, preferably in SaaS, B2B, or enterprise software environments. Expert proficiency in Figma, including components, auto-layout, variants, and prototyping; experience with Figma Make AI is a plus. Strong user research skills, including planning, conducting, and synthesizing insights from qualitative and quantitative studies. Experience with user analytics tools like PostHog, Mixpanel, or similar platforms. Prior exposure to designing products for manufacturing, supply chain, or industrial systems is highly desirable. Qualification : Bachelors or Masters degree in Design or related field

Job Title: Manager Controllership Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Glance s smart lock screen delivers personalized experiences without the need to search or download apps and is available on over 450 million smartphones worldwide. Roposo is a live platform revolutionizing interactive content through immersive, creator-led experiences. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn, and compete. At Glance, we empower you to dream big and make an immediate impact by working on mission-critical projects with highly skilled and ambitious teams. Enjoy autonomy alongside collaboration, leverage cutting-edge technology, and benefit from an environment that supports your overall well-being including meals, gym, training, tech tools, unwind sessions, and a pet-friendly workplace. Role Summary As Manager Controllership, you will own and oversee all accounting functions, ensuring scalable and compliant processes, timely book closures, and accurate revenue recognition. You will play a key role in maintaining financial integrity, managing audits, and handling payments with strong coordination across business, IT, and finance teams. Key Responsibilities Establish and manage the end-to-end accounting function, including policy development and scalable process implementation. Ensure accurate and timely revenue recognition aligned with international accounting standards (IFRS 15). Identify, resolve, and prevent revenue-related discrepancies; implement process improvements to enhance accuracy and efficiency. Manage balance sheet reconciliations, review unbilled revenue, invoicing, and GST compliance. Support and coordinate internal and external audits (Integral, statutory, etc.). Oversee supplier and dropshipper payouts, review and analyze payments, and ensure timely and accurate processing. Review system-generated and manual reports to verify correctness of payments. Resolve invoice and payment discrepancies promptly. Perform regular payment analysis and reconciliation, including payment gateway collections and COD reconciliation with logistics partners. Coordinate internally with business teams to understand financial requirements and processes. Collaborate with data science and IT teams to define data needs and address issues effectively. Manage the raising of E-invoices and credit notes (CNs). Maintain working knowledge of TDS, GST, TCS, and other relevant tax regulations. Qualifications & Skills Chartered Accountant (CA) with 4-5 years post-qualification experience OR Bachelor s/Associate degree in Accounting, Finance, or related field with 7+ years of relevant experience. Proven experience in the ecommerce industry is mandatory. Advanced proficiency in Excel and strong analytical skills. Thorough understanding of IFRS 15, GST, TDS, TCS, and related accounting standards. Exceptional attention to detail with the ability to produce accurate, high-quality work consistently and timely. Strong verbal and written communication skills. Qualification : Bachelors/Associate degree in Accounting, Finance, or related field

Backend Engineer - RAG & ML Specialization 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, on a mission to make AI accessible and impactful for Bharat. We develop high-performance, cost-effective AI agents tailored to the Indian market, empowering enterprises to unlock new opportunities and create meaningful customer connections. Join us as we reshape AI for India and beyond. Role Overview As a Backend Engineer specializing in RAG (Retrieval-Augmented Generation) systems and Machine Learning (ML) applications, you'll be building scalable backend systems that power AI-driven services. Your work will be critical in developing high-performance platforms for voice and generative AI applications, ensuring secure, scalable, and seamless AI model deployments. Key Responsibilities Backend Development: Design, develop, and maintain scalable, efficient backend applications and RESTful APIs using Python and FastAPI. RAG System Implementation: Build and optimize Retrieval-Augmented Generation (RAG) systems for AI applications, focusing on enhancing AI-driven search and retrieval capabilities. Data Pipeline Management: Develop and manage data pipelines and workflows for integrating AI and ML models into production systems. Code Quality: Ensure adherence to coding best practices, including writing modular code, implementing unit tests, and conducting code reviews. Cross-functional Collaboration: Work closely with AI/ML engineers, data scientists, and other teams to integrate machine learning models into backend systems. Database Optimization: Optimize database queries and efficiently manage both structured and unstructured data. CI/CD Practices: Continuously integrate and deploy code, using version control systems like Git and CI/CD pipelines. System Architecture: Contribute to architectural discussions and improvements, focusing on scalability and performance optimization. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Programming Skills: Strong proficiency in Python, with a solid understanding of programming fundamentals. Web Frameworks: Experience building backend services using FastAPI, Flask, or Django. Database Knowledge: Familiarity with SQL operations and NoSQL databases for efficient data management. AI & ML Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment in production environments. RAG Systems Experience: Prior exposure to Retrieval-Augmented Generation (RAG) architectures, with experience building AI-driven search systems. Version Control: Proficiency with Git and understanding of version control workflows. Problem Solving: Strong analytical and debugging skills to address complex technical challenges. Soft Skills: Excellent communication, collaboration, and problem-solving abilities. Good to Have (Preferred Experience) Backend Projects: Demonstrated experience working on backend applications using Python frameworks (FastAPI, Flask, Django) through academic or personal projects. Cloud Knowledge: Basic understanding of cloud platforms and services such as AWS, GCP, or Azure. DevOps & Containers: Exposure to Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience setting up CI/CD pipelines for automated testing and deployment. Open Source Contributions: Contributions to open-source projects or a strong GitHub profile showcasing backend development expertise. Impactful Work: Work on groundbreaking generative AI applications that are transforming the future of technology in India. Collaborative Environment: Join a high-performing team of AI experts and engineers, driving innovation and delivering real-world solutions. Growth Opportunities: Be a key player in a fast-growing AI startup, with the opportunity to grow alongside the company. Cutting-edge Technologies: Leverage the latest in AI, Machine Learning, and Cloud Technologies to build state-of-the-art systems. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field.

Software Engineer - Backend (.NET) Location: Bengaluru, Karnataka, India Employment Type: Full-time About ixigo ixigo is a leading technology company empowering Indian travelers by providing smarter travel solutions across various platforms. Established in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo offers services in rail, air, buses, and hotels, helping travelers plan, book, and manage their trips efficiently. Leveraging artificial intelligence, machine learning, and data science, ixigo creates intuitive experiences for its users. In 2021, ConfirmTkt and AbhiBus became part of the ixigo family. Headquartered in Gurugram, with offices in Bangalore (ConfirmTkt) and Hyderabad (AbhiBus), ixigo s platforms allow travelers to book train, flight, bus tickets, hotels, and more. In 2022, ixigo was recognized as one of the Top 10 most downloaded travel apps worldwide by data.ai. Job Description We are seeking a Software Engineer - Backend (.NET) to join our engineering team in Bengaluru. In this role, you will develop and maintain backend services and APIs using .NET Core and .NET Framework. As part of a dynamic team, you will have the opportunity to work on high-traffic, scalable applications and contribute to innovative solutions in the travel technology space. Responsibilities Backend Development: Develop and maintain backend services and APIs using .NET Core / .NET Framework. Write clean, scalable, and efficient code adhering to best practices and coding standards. Database Integration: Design, implement, and maintain SQL-based databases (e.g., SQL Server). Integrate databases with backend services using Entity Framework or other ORM frameworks. Cross-functional Collaboration: Work closely with front-end developers, designers, and product managers to build high-quality, user-centric software. Participate in sprint planning, agile ceremonies, and contribute to continuous improvement initiatives. Code Quality: Conduct code reviews and ensure the quality and maintainability of the codebase. Implement and maintain security and data protection measures for all backend services. Troubleshooting & Optimization: Troubleshoot, debug, and optimize existing systems to enhance performance and reliability. New Features Implementation: Assist in the design and implementation of new features and services. Qualifications Required Skills: Experience: 1-3 years of professional experience in backend development using .NET Core or .NET Framework. Proficiency: Strong knowledge of C# and object-oriented programming principles. Solid understanding of RESTful API design and development. Database Skills: Strong experience with relational databases like SQL Server or MySQL. Experience with Entity Framework or other ORM frameworks. Version Control: Familiarity with version control systems like Git. Web Services Integration: Knowledge of web services and integration methods (e.g., SOAP, REST, JSON, XML). Unit Testing: Good understanding of unit testing frameworks (e.g., xUnit, NUnit). Cloud Knowledge: Basic knowledge of cloud platforms (e.g., Azure is a plus). Problem-solving: Strong problem-solving skills and ability to troubleshoot complex issues. Communication: Good communication skills and ability to work in a collaborative environment. Impactful Work: Help shape the future of the travel industry by building cutting-edge applications. Collaborative Environment: Work with talented professionals in an innovative, agile, and flexible environment. Career Growth: Learn and grow in a rapidly expanding company that values continuous learning. Competitive Compensation: Enjoy a competitive salary and benefits package. Work-Life Balance: A culture that promotes a healthy work-life balance.

ASIC Engineer, Implementation Location: Bangalore, India Full Time Company: Meta Meta is hiring ASIC Frontend Implementation Engineers within our Infrastructure organization. We are looking for individuals with experience in front-end implementation from RTL to netlist, including RTL Lint, CDC analysis, timing constraints, and synthesis to build efficient System on Chip (SoC) and IP for data center applications. Successful candidates must remain in the same role within the team in India for a minimum of 24 months before being eligible for a transfer to another role, team, or location. ASIC Engineer, Implementation Responsibilities: Run Logic/Physical Synthesis using advanced optimization techniques and generate optimized Gate Level Netlist for timing, area, and power. Debug timing/area/congestion issues and collaborate with RTL and Physical Designers to resolve them. Perform Power Estimation at both RTL and Gate Level and identify power reduction opportunities. Run Formal Verification checks between RTL and Gate level netlist and debug issues such as aborts, inconclusive, and logic equivalency failures. Perform RTL Lint and work with designers to create necessary waivers. Perform RTL DFT Analysis and improve coverage for Stuck-at faults. Conduct Flat and Hierarchical Clock Domain Crossing (CDC) and work with designers to analyze complex clock domain crossings and sign-off. Conduct Flat and Hierarchical Reset Domain Crossing (RDC) checks and develop reset sequences for RDC in collaboration with Design and Firmware teams. Develop Timing Constraints for RTL-Synthesis and PrimeTime-STA for blocks and top-level SoC designs. Analyze inter-block timing and generate IO budgets for partition blocks. Develop Power Intent Specification in UPF for multi-Vdd designs. Develop automation scripts and methodology for all FE-tools including Lint, CDC, RDC, Synthesis, STA, and Power. Work closely with Design Engineers, DV Engineers, and Emulation Engineers to support handoff tasks. Collaborate with Physical Design Engineers to provide timing and congestion feedback. Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. 5+ years of experience in Design Integration and Front-End Implementation. Experience with RTL Synthesis and design optimization for Power, Performance, and Area. Knowledge of front-end and back-end ASIC tools. Experience with RTL design using SystemVerilog or other HDLs. Experience managing multiple design releases and working with cross-functional teams to support and debug timing, area, and power issues. Proficiency with EDA tools and scripting languages (Python, TCL) for building complex toolflows. Experience communicating and collaborating with internal teams and vendors. Preferred Qualifications: Knowledge of Clock Domain Crossing, Reset Domain Crossing, and LEC. Background in Synthesis, Timing Constraints Development, Floorplanning, and STA. Experience with RTL coding using Verilog/System Verilog. Familiarity with Timing/physical libraries, SRAM Memories. Experience with Power, Performance, Area analysis techniques for power reduction. Experience with Low Power design and tools like Design Compiler, Spyglass, PrimeTime, Formality, or equivalent tools. Strong programming and scripting skills using Perl/Python, TCL, and Make. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it revolutionized how people connect. Apps like Messenger, Instagram, and WhatsApp have empowered billions globally. Meta is now advancing beyond 2D screens into immersive experiences like augmented reality and virtual reality, shaping the future of social technology. Meta provides an opportunity to be part of creating a future where digital connection transcends screens, distances, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics. Qualification : Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.

Senior PLM Analyst Teamcenter Location: Bengaluru Experience Required: 2 5 years Company: Pratt & Whitney (Raytheon Technologies) Job Overview Pratt & Whitney is looking for an experienced Senior PLM Analyst with a strong background in Teamcenter PLM systems to support the Engineering Applications team in delivering digital transformation and Model-Based Systems Engineering solutions across the enterprise. Responsibilities Develop, implement, and support customized PLM solutions using Teamcenter. Work closely with Engineering and DevOps teams to improve system availability, performance, and integration. Participate in Agile ceremonies, code reviews, sprint planning, and backlog grooming. Consult on PLM configuration issues, digital thread integration, and MBSE alignment. Contribute to the PLM roadmap and evaluate new tools and technologies like OpenPDM. Provide support for deployment, monitoring, and optimization of PLM tools. Assist with technical documentation, project status updates, and stakeholder presentations. Basic Qualifications 2 5 years of experience in PLM Teamcenter development and integration. Proficiency in customizing, configuring, and deploying PLM platforms. Strong communication, leadership, and cross-functional collaboration skills. Familiarity with DevSecOps practices and agile development methodologies. Preferred Qualifications Hands-on experience with Teamcenter Systems Modeler and OpenPDM. Understanding of MBSE, digital twin, or digital thread concepts. Ability to drive end-to-end solutions from design to implementation. Strong analytical and organizational skills with a proactive attitude. At Pratt & Whitney, we're redefining the future of aerospace. Join us to be part of a world-class team creating innovative technologies that power modern flight and sustainable innovation. Equal Opportunity Statement We are an equal opportunity employer and consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Apply Now Explore your potential with Pratt & Whitney. Apply today and be part of the digital transformation in aerospace engineering.

Senior SAP FICO Consultant Job Description Castaliaz is looking for an experienced Senior SAP FICO (Finance and Controlling) Consultant to join our dynamic team. In this role, you will be responsible for implementing, configuring, and maintaining the SAP Financials and Controlling (FICO) modules, ensuring that they align with our clients' business needs. You will collaborate closely with clients to understand their requirements, offer expert guidance on SAP FICO best practices, and deliver high-quality solutions to optimize financial processes. Role and Responsibilities: Functional Expertise: Understand the functional requirements of accounting processes including General Ledger (GL), Accounts Receivable (AR), Accounts Payable (AP), banks, and fixed assets. Costing and Reporting: Knowledge of Product Costing and CO-PA (Profitability Analysis). Understand the basic CO reporting framework, cost allocation, and settlement cycles. SAP Process Flows: Deep understanding of the SAP process flow for FI, including master data setup and configuration. Cross-Module Integration: Proficient in various master data elements and configurations for FI, as well as cross-module integration with MM (Materials Management) and SD (Sales and Distribution). User Support: Address end-user issues related to day-to-day operations and provide effective solutions to ensure smooth operations. Business Blueprinting: Independently develop Business Blueprints for SAP FICO projects and user requirements, and conceptualize optimal solutions. Testing: Conduct unit testing and facilitate end-user testing to ensure all system configurations work as intended. Taxation Knowledge: Familiarity with India's taxation systems, including Excise, Service Tax, and TDS (Tax Deducted at Source). Revenue Recognition: Experience in handling revenue recognition processes. Special Tasks: Manage special tasks related to SAP FI and CO functionalities. SAP TRM: Exposure to SAP Treasury and Risk Management (TRM) is preferred. Education and Qualifications: Bachelor's Degree in Commerce or a related field. Preferred: MBA in Finance. Work Experience: 3+ years of relevant experience in SAP FICO implementations and support. Location: Bangalore (onsite) About Castaliaz: Castaliaz has been at the forefront of implementing SAP applications across SMEs and large enterprises for over a decade. We are recognized as one of the Top 10 SAP implementation partners in India. With expertise in a variety of SAP solutions, including SAP Cloud, Rise with SAP, S/4HANA, Fiori, Ariba, and Digital Compliance (GST, E-Invoicing, E-way Bill), we help businesses navigate the full lifecycle of SAP implementations and management. Our proven implementation approach has earned the trust and loyalty of our clients across India. Qualification : Bachelor's Degree in Commerce or a related field. Preferred: MBA in Finance.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Experience in micro architecture and requirements/implementation for automotive designs (focused on functional safety) and their Safety Analysis work products like concept FMEDA, DFA, DFMEA, FTA, FMEDA, etc. including FuSa compliant IP development and third-party IP compliance/deliverables/DIA. Responsibilities shall include the following: Developing a system level safety concepts and requirements for ADAS and IVI use cases with customer implementations in mind and to integrate Qualcomm s hardware in leading Automotive OEM and Tier 1 safety critical systems. Work in collaboration with 3rd party, Customer, and Automotive Stack suppliers, Hardware component suppliers (PMIC, DRAM, Sensor, etc) to ensure all aligned customer system level requirements are met Work with IP and SoC teams on the implementation of Technical Safety Concepts (TSCs) on Qualcomm s Snapdragon automotive hardware. Work with various technology teams on architectural features that would enable targeted safety levels (ASIL B to ASIL D, depending upon the technology team and system level requirements) to meet customer targets Conducting safety analyses, both quantitative and qualitative, fault campaigns on automotive hardware designs and identify areas of improvement. Responsibilities will include leading functional safety related activities for SoC development and ensure ISO 26262 compliance with respect to SoC architecture, development processes and work products. Work closely with SoC Design and IP teams, Software team, Quality teams, the functional safety manager(s) as well as customers to ensure the functional safety process is executed and documented. Working with vendors and partners to ensure functional safety requirements are fulfilled by the components that they provide Work with internal and external functional safety assessors to ensure compliance with ISO 26262 Create functional safety collateral for customers viz. Functional Safety Manual, Safety Analyses Reports, dedicated application notes etc. Supporting customer assessments of our safety features and recommending HW and SW based solutions that meet overall system targets. Working closely with customers and supporting them on various functional safety related aspects Minimum Qualifications Bachelor s degree in engineering, Information Systems, Computer Science, or related field. 8+ years Systems Engineering, SoC Integration, Verification, or related work experience. Collaborative work experience with good communication skills involving customers, vendors, and internal development teams. Structured problem-solving capability and ability to work with teams on root cause analyses. Preferred Qualifications 5+ years Automotive experience and familiarity with Safety work products, experience with Functional Safety Hardware and/or Software development in semiconductor industry meeting IS0 26262/ IEC 61508 standards. Prior automotive experience in ADAS and self-driving systems preferred. System level Functional safety analysis experience on Hardware/Software components integration preferred SoC/IP integration or verification with good understanding of SoC Architecture and IP design experience preferred Requirements Management Tools and establishing traceability for functional safety requirements e.g. DOORS, etc. Familiarity with Failure Modes and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) is required experience using tools to perform FMEA, FTA preferred Familiarity with hardware failure rate calculation (FMEDA) experience using Siemens 29500 and/or IEC 62380 preferred Relevant Safety Certification is desired e.g. CFSE, CFSP Qualification : Bachelors degree in engineering, Information Systems, Computer Science, or related field.

Job Title: Business Intelligence (BI) Lead Life Sciences Sector About the Role: As the BI Lead, you will spearhead and develop Business Intelligence (BI) projects within the team, focusing on constructing an analytical data layer, developing custom BI reporting solutions, monitoring platform performance, and enabling self-serve reporting for Regional Business Units (RBU) and Global Business Units (GBU). Your primary responsibility is to deliver high-quality contributions to client projects in the life sciences sector. These tasks will range from basic analysis and problem-solving to assisting in the creation of more complex solutions. You ll demonstrate a comprehensive understanding of pharmaceutical data assets, including IQVIA, CRM, and MCM data, as well as country-specific variations. Key duties include training and upskilling Business Units (BUs) to use the self-serve layer effectively for report and dashboard creation, assessing data requirements for decision-making, and ensuring data accuracy. You ll work closely with engineering and data platform teams to improve data availability and reliability, while collaborating on client proposals and solution strategies. Additionally, you will contribute to documentation and specifications, design presentations, and actively engage in the consulting methodologies and life sciences market to continuously grow your knowledge. Key Responsibilities: Lead BI projects, including building and maintaining an analytical data layer, and developing BI solutions for reporting and visualization. Deliver high-quality, timely contributions to life sciences client projects, ranging from basic analysis to complex solutions. Utilize pharmaceutical data assets (IQVIA, CRM, MCM) and understand regional data variations. Train Business Units (BUs) to efficiently use the self-serve reporting layer for creating reports and dashboards. Assess data requirements, identify suitable data sources, ensure data accuracy, and perform necessary transformations for decision-making. Establish and track business metrics, and perform in-depth process analysis to identify areas for improvement. Collaborate with engineering and data platform teams to enhance data availability and reliability. Review and analyze client requirements, contribute to proposal development, and create tailored client solutions. Create detailed documentation, including specifications and quantitative/qualitative analyses. Present client deliverables within established frameworks, adapting presentations to audience needs. Stay engaged in consulting methodologies, life sciences market trends, and professional development opportunities. Manage project-based responsibilities under the guidance of senior consultants and directors. Desired Candidate Profile: Proficiency in SQL and BI platforms, particularly Power BI (Spotfire knowledge is a plus). Extensive experience with data transformation/ETL, data modeling, and a strong understanding of data platforms and ETL processes. Hands-on experience with Power BI, including the creation of reports, dashboards, and visualizations, and experience in environments such as Salesforce, Snowflake, or Azure. Skilled in migrating SSRS reports/Tabular reports to Power BI Paginated Reports. Advanced knowledge of Power Query M and experience building sophisticated DAX queries. Experience implementing static and dynamic Row Level Security, along with extensive knowledge in dataset design, data cleansing, and aggregation. Understanding of relational database structures, principles, and practices. Solid SQL skills, including the ability to write complex queries and create SQL views for custom datasets. Strong proficiency in Excel, PowerPoint, and Access, with VBA knowledge considered a plus. Proven ability to build relationships with multiple stakeholders (BI engineers, Data Engineers, Consulting teams, Product Managers). Familiarity with Software Development Life Cycle (SDLC) and Agile methodologies. Experience with technical project execution, including proposal writing, creating BRD, PDD, SDD, and user documentation. Excellent verbal and written communication skills. Previous experience in application or implementation support is required. Strong problem-solving skills and a macro-level approach to research and analytics. Good to Have: Experience with other BI technologies (e.g., Tableau, Looker Studio, ThoughtSpot). Knowledge of Python/R. Experience with Microsoft Power Platform tools (e.g., PowerApps, Power Automate). Hands-on experience with Canvas App Configuration, Canvas App Functions, Power Portals, Power Automate Desktop, and custom connectors. Familiarity with Azure services, AI builder, Virtual Agents, and SharePoint list customization. Microsoft Power Platform certification is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. 6-8 years of relevant experience. Demonstrated collaborative approach, working effectively across teams to achieve objectives. Knowledge of core business processes and their impact on decision-making and growth. Familiarity with consulting methodologies, tools, and techniques. Up-to-date with current industry trends and insights into competitors and marketplace dynamics. Proficiency in time management, Scrum methodologies, and agile working practices. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

About Intugine Ever wondered how the physical goods we consume every day (think dairy, snacks, or your favorite choco chip ice cream) reach you in time? Or how beautiful furniture or sophisticated electronic equipment and gadgets you use are delivered in the best possible condition at your doorstep. Their journey spans from getting sourced, manufactured, and stored, to getting moved across a highly intricate supply chain network across the globe before it gets delivered. Global brands constantly face challenges like not having visibility of their raw materials, which delays production and in turn, delays customer shipments, or tracking shipments across various modalities and multiple geographies. Intugine Technologies is one of the most trusted solution partners catering to these brands with its best-in-class visibility platform helping brands gain comprehensive visibility over their supply chain across modalities(air/land/sea/rail). Their solutions have helped eliminate operational inefficiencies, reduce logistics costs and improve OTIF, order to delivery TAT, and minimize dwell time and detention costs. Intugine is a proud partner of the National Logistics Policy, an initiative by the Government of India. With this, it provides these brands with additional information via their integrations with FASTag, Port Community System, and Freight Operations Information System to name a few. Today Intugine works with 75+ global enterprise names like GE Healthcare, Signify, Flipkart, Mahindra Logistics, Titan, Diageo, Ultratech Cement, Bridgestone, and GMMCO. To know more, visit the website: https://www.intugine.com Responsibilities: Design and set up processes to improve the overall efficiency of the team. Collaborate with the technical team to set up or configure Intugine s software platform as per customers requirements and troubleshoot technical issues raised by customers. Research and analysis of Intugine's new products and design a process for their implementation. Conduct demos and training sessions for the customers. Conduct frequent checks to ensure system robustness. Requirements: Having natural creative flair and being full of ideas and energy to introduce new concepts and innovations. Desire to assume responsibility and work autonomously. Highly organized and able to juggle numerous tasks. Basic excel skills are an advantage. Previous experience in operations will also be positively considered.

Job Description: As a Staff Engineer in Arm's Solutions Engineering group, we like to think we are not just crafting sophisticated SoCs, but we are defining future chip design techniques. Not only do we improve the power, performance, and system integration of our products, but we also craft the design flows, influence Electronic Design Automation (EDA) tools, and build the knowledge base that makes custom SoC and CPU chip design possible. At Arm, our work goes beyond multiple divisions where we drive improved implementation for Arm and our partners. A key component of this is around the development of comprehensive implementation and analysis methodologies. Responsibilities: Synthesis, Physical design, and implementation of CPU cores, system interconnect, and other Arm IP. Analyze design timing, area, and power to help improve the quality of Arm IP. Develop and deploy new methodologies to improve implementation efficiency and results. Support and develop detailed implementation analysis and data-mining methodologies. Work with implementation and physical IP RTL design teams to drive analysis and optimization of our IP. Converting R&D concepts into real implementation solutions. Enable our partners to achieve the best possible quality of results. Required Skills and Experience: Bachelor s or Master s degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields. 8+ years of proven experience in ASIC Implementation, Physical design, STA and Timing closure, Structured clock tree, PDN analysis, DFM, and Physical verification. Possess a high level of dedication, initiative, and problem-solving skills. Experience in crafting and adopting new silicon implementation techniques and methodologies, and promoting their use with international teams. Previous experience in and knowledge of the entire IC design flow, from RTL through to GDS2. Experience working closely in top and block-level Synthesis, Floorplanning, Place and Route, CTS, logical and physical optimization, timing closure, and power analysis flows. Proven programming and scripting skills (e.g., Tcl, Perl, and R). Nice To Have Skills and Experience: Knowledge around Arm-based SoCs! Experience with a wide range of programming, scripting & data presentation languages (e.g., Tcl, sh, csh, make, R, C, C++, Java, JS, HTML, Perl, Python, and Ruby). Experience with low-power design techniques (power gating, voltage/frequency scaling). Experience with Verilog RTL design. Experience with ATPG tools and/or production testing. In Return: Arm is an equal opportunity employer, committed to providing 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 on the basis of any characteristic. #LI-KR2 Qualification : Bachelors or Masters degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields.

Job Description Join Intel s world-class Graphics Physical Design Team, working on high-performance GPUs/GFX targeting high-end graphics, gaming, artificial intelligence, and media processing. This is an exciting opportunity to collaborate with a talented team early in the product lifecycle, driving innovation in RTL-to-GDSII implementation for multi-million gate designs on advanced process nodes. Key Responsibilities: RTL-to-GDSII implementation, including logic synthesis, physical synthesis, and routing. Clock tree synthesis, performance verification (static timing), noise and power verification. Conduct ERC (Electrical Rule Check), reliability verification, and layout verification. Work closely with design automation, methodology, and product integration teams to enhance execution efficiency and quality. Contribute to process improvements and methodology advancements. Qualifications & Requirements: Educational Qualifications: Final-year M.Tech students specializing in Electrical, Electronics, or Microelectronics Engineering, with exposure to Semiconductors and VLSI design. Preferred Skills: Strong fundamentals in Digital VLSI design and RTL-to-GDSII ASIC Design flow. Excellent problem-solving skills and a strong ability to learn new concepts and methodologies quickly. Basic knowledge of UNIX/Linux environments and scripting languages such as Perl, Python, and TCL (a plus). About the 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-one systems. Working alongside industry partners, CCG delivers cutting-edge computing experiences that empower users to focus, create, and connect. As Intel s largest business unit, CCG continues to innovate aggressively, investing in leadership products, next-generation technologies, and scalable IP solutions. 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, national origin, 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 : Final-year M.Tech students specializing in Electrical, Electronics, or Microelectronics Engineering, with exposure to Semiconductors and VLSI design.

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.

Job Overview: The ideal candidate will bring hands-on expertise with Automation Anywhere platform and demonstrable experience in AIdocument automation, process automation, and RPA standard methodologies. If you re familiar with agentic automation or excited to explore it, that s a huge plus! Responsibilities: RPA Development & Implementation Design, develop, and deploy robust automation workflows using Automation Anywhere to enhance operational efficiency. Simplify development processes by creating scalable, reusable assets for enterprise-wide adoption. Optimize existing bots for improved efficiency, scalability, and reliability. Process Optimization Analyze existing processes to identify automation opportunities and streamline workflows. Collaborate with business users to document requirements and design solutions aligned with business goals. Solution Design & Documentation: Develop and maintain detailed design documents, technical specifications, and solution architecture. Ensure adherence to RPA best practices and organizational standards. Testing & Deployment Conduct thorough testing to ensure scalability, performance, and reliability of all RPA solutions. Monitor deployed bots to ensure seamless operation and drive continuous improvement. Document AI Automation Use AI/ML tools for intelligent document processing (e.g., data extraction, validation, and classification). Optimize document workflows to enable faster, smarter decision-making. Agentic Automation Implement adaptive, intelligent workflows using agentic automation, enabling real-time decision-making. Explore opportunities for multifaceted automation based on business needs. Required Skills and Experience: Proven experience with Automation Anywhere (development, deployment, and maintenance). Strong knowledge of AIdocument automation and related tools. Expertise in process automation and workflow optimization. A solid track record in troubleshooting and debugging complex RPA solutions. Bachelor s degree in Computer Science, Information Systems, or a related field. 8+ years of experience in RPA development, with a focus on Automation Anywhere. Proficiency in programming languages such as Python, Java, or .NET is a bonus. Strong analytical, problem-solving, and interpersonal skills. Nice To Have Skills and Experience: Familiarity with agentic automation tools and concepts. Experience with cloud-based RPA solutions and integrations (e.g., AWS, Azure, GCP). Basic knowledge of AI/ML for intelligent automation. In Return: With offices around the world, Arm is a diverse organisation of dedicated, innovative and very hardworking engineers. By enabling a vibrant, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we encourage our people to share their outstanding contributions to Arm's success in the global marketplace #LI-KR2 Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing 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 don t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Qualification : Bachelors degree in Computer Science, Information Systems, or a related field.

Minimum qualifications: Bachelor s degree in Electrical Engineering, Computer Science, or equivalent practical experience. 20 years of experience with chip design flow, chip architecture, design methodologies, physical design, and verification processes. Experience in leading chip development projects. Experience in working with external ASIC vendors. Preferred qualifications: Master's degree or PhD in Engineering, or a related field. Experience with ASIC design methodologies for front quality checks (e.g., Lint, CDC/RDC, Synthesis, design for testing, ATPG/Memory BIST, UPF, and Low Power Optimization/Estimation). Knowledge of data centers and cloud markets, technological and business trends, requirements, and ecosystem partners. Ability to motivate and focus a large collaboration to reach challenging goals. Excellent communication and facilitation skills. About the job In this role, you ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You ll be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As a Chip Leader, you will be responsible for overseeing the design and development of AI accelerators for our data center. You will be responsible for leading the chip design, from architecture requirements up to tape-out. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Own the chip development and execution. Accountable for Quality, Schedule and Performance, Power, Area (PPA), being the primary point of contact for day-to-day execution of chip development, planning and tracking. Coordinate the work of different disciplines, such as design, verification, and test, to ensure the chip meets all specifications and requirements. Collaborate with the leadership team of each chip project: Technical Program Manager, Design Verification lead, Physical Design lead, DFT lead, and architecture team, to make execution decisions and drive the development process. Resolve technical issues that arise during the chip development process. Ensure chip quality by implementing best practices and implementing quality control measures. Be responsible for project development with the highest quality, manage issues as they arise through design and implementation. Work with Software and Platform teams for hardware-software co-development. Qualification : Bachelors degree in Electrical Engineering, Computer Science, or equivalent practical experience.