Compute Shaders Jobs in Bengaluru

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

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

Job Title: Enterprise Infrastructure Automation Architect Location: Bengaluru, India Experience: 16 20 Years Service Line: Cloud & Infrastructure Services Educational Qualifications: B.E., B.Tech, M.Tech, BCA, MCA, MBA Role Overview: We are looking for a seasoned Enterprise Infrastructure Automation Architect to lead the design and implementation of automation strategies across our global IT infrastructure. This role is pivotal in driving enterprise-wide automation initiatives, streamlining operations, and enabling digital transformation through scalable and secure infrastructure automation solutions. Key Responsibilities: Infrastructure Automation Strategy & Roadmap Define and maintain the enterprise automation strategy aligned with organizational goals and IT objectives. Identify automation opportunities across compute, storage, network, virtualization, cloud, and data center domains. Establish automation goals, KPIs, and success metrics for continuous improvement. Evaluate and recommend emerging automation technologies and frameworks. Solution Design & Architecture Design scalable, secure, and maintainable automation architectures for enterprise infrastructure. Define enterprise-wide automation standards and best practices (e.g., IaC, scripting, orchestration). Select and standardize tools such as Ansible, Terraform, Python, PowerShell, and cloud-native automation services. Build reusable automation frameworks, templates, and modules to ensure consistency. Implementation & Governance Provide architectural oversight and support during implementation and deployment phases. Ensure compliance with automation standards and governance throughout the lifecycle. Participate in project reviews to ensure strategic alignment with enterprise automation goals. Establish governance processes for managing scripts, workflows, and infrastructure-as-code artifacts. Additional Responsibilities: Proven experience in IT Service Management and remote delivery automation environments. Ability to articulate the business value and operational impact of automation initiatives. Self-motivated, creative thinker with excellent problem-solving abilities. Excellent communication skills, both verbal and written. Technical & Professional Requirements: In-depth knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman). Expertise in infrastructure domains including compute, storage, middleware, backup (on-prem & cloud). Experience with public cloud platforms (AWS, Azure, GCP) and hybrid cloud architectures. Proficiency in security standards and best practices across global IT environments. Hands-on experience with monitoring and orchestration tools. Skilled in creating architecture diagrams and workflow visualizations using tools like MS Visio, Lucidchart, etc.

Cloud Engineer Azure | Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT Software / Cloud Computing Job Summary: We are looking for a skilled Cloud Engineer with expertise in Microsoft Azure to manage, optimize, and support cloud infrastructure solutions. The ideal candidate will have hands-on experience administering Azure cloud environments, implementing security best practices, and automating cloud operations. Key Responsibilities: Administer and support public cloud infrastructure, with at least 2 years of experience in Azure cloud services Manage Azure Compute resources including App Services, Virtual Machines, and Azure Kubernetes Service (AKS) Handle Azure storage and database services such as SQL Database, Blob Storage, and configure Azure Networking components including Azure Firewall, VPN, Load Balancer, and Private Link Utilize Azure native management tools including Azure Blueprints, Azure Policy, Azure Monitor, and backup solutions Implement and monitor security tools such as Azure Security Center, Azure Sentinel, Azure Defender, and manage Azure Key Vault and Azure Active Directory (AAD) Drive automation and Infrastructure-as-Code (IaC) using Azure Automation, Azure DevOps, PowerShell DSC, and scripting languages Develop and maintain automation scripts using Python or PowerShell Collaborate within DevSecOps teams to ensure secure, scalable, and reliable cloud deployments Required Skills: Proven experience with Microsoft Azure cloud services Strong knowledge of Azure Compute, Storage, Database, and Networking services Experience with Azure security tools and best practices Familiarity with Infrastructure-as-Code (IaC) tools and automation frameworks Proficiency in at least one scripting language such as Python or PowerShell Good understanding of cloud security and compliance standards Azure certifications (AZ-104, AZ-303, AZ-500) are highly desirable Preferred Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field Experience with continuous integration and continuous deployment (CI/CD) pipelines Familiarity with DevSecOps culture and tools Work with cutting-edge cloud technologies and global teams Opportunity for continuous learning and professional growth in cloud computing Engage in challenging projects that impact business-critical applications Qualification : Bachelors degree in Computer Science, Information Technology, or related field

Platform Solution Architect Job Overview As a Platform Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database and cloud workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real-world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long-term impact with their technical knowledge and position of influence with prospects and customers. Key Responsibilities Serve as a subject matter expert on Rubrik s data protection and data security solutions, focused on database and cloud workloads. Act as a trusted advisor on assigned opportunities, aligning Rubrik s technology and roadmap with customer business objectives. Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences. Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs. Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes. Proactively identify technical challenges and architect creative solutions to overcome sales barriers. Translate complex customer requirements into clear, actionable technical strategies. Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik s solutions. Evangelize Rubrik s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs. Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands. Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders. Qualifications 8+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud. Bachelor s Degree in Computer Science, Engineering, or equivalent experience. Deep technical expertise in two or more areas across database and cloud: Database focus: Primary: Oracle (Oracle Cloud, Data Guard, Golden Gate, Exadata, ExaCC) Secondary: MongoDB, Apache Cassandra, SQL Server, IBM DB2, Informix, PostgreSQL Multi-Cloud focus (Azure or AWS or GCP): Primary: AWS EC2, Azure VM, GCP Compute Engine, AWS S3, Azure Blob Secondary: Azure SQL and AWS RDS Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript. Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions. Experience conducting benchmarks and performance testing on enterprise systems (preferred). Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators. Strong cross-functional collaboration skills with sales, engineering, and product management. Exceptional communication skills, including compelling presentations and clear, concise writing. Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software. Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy. Willingness to travel approximately 20%-50% of the time. #LF-SF1 Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked. Qualification : Bachelors degree or equivalent practical experience.

Staff Software Engineer - Networking Location: Bengaluru, India Company: Databricks About Databricks Databricks powers the world s best data and AI infrastructure platform, enabling data teams to tackle critical problems from transportation innovation to medical breakthroughs. Our platform unifies data, analytics, and AI for over 10,000 organizations worldwide, including more than half of the Fortune 500. Founded by the creators of Apache Spark , Delta Lake, and MLflow, Databricks is headquartered in San Francisco with global offices. Role Overview As a founding member of our new Networking Infrastructure team in Bengaluru, you will design and develop backend connectivity services that power millions of VMs running on Databricks. This platform connects our control plane to the compute plane, enhancing scalability and optimizing cloud resource usage. You ll collaborate closely with product management, operations, and engineering teams to deliver robust, scalable, and efficient networking solutions. This is an exciting hands-on leadership role for an experienced engineer passionate about multi-cloud and distributed systems challenges. What You ll Do Lead design and development of new networking services powering connectivity between control and compute planes. Build scalable backend connectivity systems supporting millions of virtual machines. Collaborate cross-functionally with product, operations, and engineering teams. Solve complex multi-cloud and distributed systems problems in a fast-paced environment. Contribute to setting up and growing the Bengaluru networking team from scratch. What We Look For 12+ years of production software engineering experience in Python, Java, Scala, C++, or similar. 7+ years building large-scale distributed systems from the ground up. Extensive experience in networking domain and SaaS platforms or Service-Oriented Architectures. Strong leadership and hands-on engineering skills. Passion for solving novel challenges in multi-cloud networking and distributed systems. Benefits Comprehensive benefits package tailored to employee needs. Inclusive and diverse workplace committed to equal opportunity for all. Diversity & Inclusion Databricks is dedicated to fostering a diverse and inclusive culture where all employees can thrive. We uphold equal employment opportunities without regard to age, race, gender, ethnicity, disability, religion, sexual orientation, veteran status, or any other protected characteristic.

Staff Engineer - Core Infrastructure Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re transforming the future of work by leveraging artificial intelligence to connect individuals with career opportunities based on their skills and potential, not just their network. Our Talent Intelligence Platform powers a more diverse, inclusive workforce by helping organizations plan, hire, develop, and retain top talent. With $410M+ in funding and a $2B+ valuation, we are revolutionizing how the world thinks about skills, potential, and careers. If you re passionate about cutting-edge technology, infrastructure, and creating scalable solutions that impact the world, we want you to join us. The Opportunity We re looking for a Staff Engineer to join our Core Infrastructure Team and help scale the backbone of Eightfold s platform. This high-impact role will involve designing, building, and optimizing foundational systems that power everything from search and machine learning infrastructure to developer platforms and observability tools. You will drive system design across our stack and mentor engineering teams to build scalable, resilient systems that enable Eightfold to grow and deliver AI-powered solutions for our customers. What You ll Own & Drive Architect & Scale Core Systems: Design and build scalable infrastructure systems that support Eightfold s AI-driven products, including search, compute, storage, and machine learning infrastructure. Cross-Functional Leadership: Lead cross-team technical initiatives, collaborating with Product, Security, Data, and Platform teams to align with company-wide goals. Hands-On Development: Contribute directly to system design, code reviews, and incident response, ensuring best practices are followed. Mentorship & Leadership: Guide and mentor engineers to help them grow into future leaders, fostering a culture of technical excellence across teams. Advocate for Engineering Excellence: Champion best practices across areas such as cloud architecture, CI/CD, security, and observability. Solve Complex Infrastructure Challenges: Tackle problems around reliability, scalability, and infrastructure performance, ensuring the systems are robust and perform well at scale. Bring Emerging Tech to Life: Stay on top of the latest trends and technologies, incorporating new scalable design patterns into our architecture. What You Bring 10+ years of experience in backend or infrastructure engineering, with a strong background in building distributed, cloud-native systems. Proven track record in designing and delivering reliable, high-scale services (ideally in AWS, GCP, or Azure environments). Expertise in Infrastructure Technologies: Deep knowledge of containerization, orchestration (Kubernetes), and infrastructure-as-code. Experience with one or more of the following: search infrastructure, ML/AI infrastructure, databases/data warehouses, developer tooling, or platform security. Leadership Experience: A passion for mentoring and guiding engineers, influencing teams and peers, and driving excellence across projects. Strong communication skills, able to translate complex technical challenges into strategic business impact. (Bonus) Experience with SRE principles, cloud security, and compliance for enterprise/government environments. Our Engineering Culture At Eightfold, we believe in ownership over tasks. You won t just be given directions; you ll be trusted to take responsibility and make a measurable impact. We have a growth mindset and continuously improve in all aspects of our work. Collaboration, transparency, and speed are core to everything we do. You ll work in a dynamic, supportive environment where your work directly influences the success of the company and its mission. Meaningful Work: Help shape the future of work by building products that impact careers and businesses globally. Growth Opportunities: Be part of a rapidly scaling company where your contributions are highly valued. Competitive Compensation: Attractive salary, equity, and comprehensive benefits package (including medical, vision, and dental coverage). Hybrid Work Model: Work from our Bangalore office twice a week, with flexibility for remote work. Inclusive Culture: We are committed to fostering a diverse and inclusive work environment where everyone feels valued. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you re a hands-on, innovative engineer with a passion for building scalable systems and tackling infrastructure challenges, we want to hear from you.

Job Title: Azure Infrastructure Architect Location: Bengaluru, Karnataka, India Department: Engineering About CloudSEK CloudSEK is one of India s leading cybersecurity product companies, focused on leveraging Artificial Intelligence and Machine Learning to identify and resolve digital threats in real-time. With a strong portfolio of products like CloudSEK XVigil, BeVigil, and SVigil, we provide advanced solutions for attack surface monitoring, cybersecurity risk management, and software supply chain protection. We are headquartered in Singapore and have expanded rapidly across India, Southeast Asia, and the Americas. At CloudSEK, we prioritize innovation, agility, and building impactful products that keep our customers ahead of emerging cybersecurity threats. About the Role: Azure Infrastructure Architect CloudSEK is looking for an Azure Infrastructure Architect to design, implement, and optimize cloud infrastructure solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure services, infrastructure automation, and security best practices, with a strong background in cloud architecture patterns. You will work closely with various stakeholders to align cloud strategies with business objectives, ensuring high availability, security, and scalability of enterprise applications. Key Responsibilities Cloud Architecture & Design: Design and implement highly scalable, resilient, and secure cloud infrastructure solutions on Microsoft Azure. Develop cloud adoption strategies, migration plans, and hybrid cloud architectures to meet business needs. Create architecture blueprints, reference architectures, and best practices tailored to Azure environments. Ensure compliance with the Azure Well-Architected Framework and other industry standards. Infrastructure & Automation: Architect and automate Infrastructure as Code (IaC) using tools like Terraform, ARM templates, Bicep, and Ansible. Implement CI/CD pipelines for infrastructure deployment using Azure DevOps, GitHub Actions, or Jenkins. Automate cloud operations, monitoring, and governance using Azure Automation, PowerShell, and Python. Security & Compliance: Design and enforce Azure security best practices including Azure Policy, RBAC, NSGs, Key Vault, Defender for Cloud, and Sentinel. Ensure adherence to regulatory frameworks like ISO 27001, SOC 2, GDPR, and HIPAA. Perform threat modeling, risk assessments, and define zero-trust architectures. Networking & Hybrid Cloud: Design and optimize Azure Virtual Networks (VNet), ExpressRoute, VPN Gateway, and Load Balancers for seamless operations. Implement hybrid cloud architectures, integrating on-premises data centers with Azure via Azure Arc. Optimize network performance, DNS, CDN, and traffic routing in cloud-native environments. Performance Optimization & Cost Management: Leverage Azure Cost Management to implement cost-effective cloud solutions and manage reserved instances. Optimize cloud resource utilization using Autoscaling, VM sizing, and Serverless computing models. Define and implement cloud governance policies to control costs and improve operational efficiency. Collaboration & Stakeholder Engagement: Collaborate with DevOps, Security, and Application teams to align infrastructure solutions with business needs. Provide technical leadership and guidance to engineering teams, ensuring alignment with industry trends and best practices. Act as a trusted advisor to leadership on cloud strategies, emerging technologies, and technical decision-making. Required Skills & Qualifications Technical Expertise: Azure Services: Experience with Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure SQL, CosmosDB, and Azure Networking (VNet, NSG, VPN, ExpressRoute). Automation & IaC: Expertise in Terraform, ARM Templates, Bicep, Ansible, PowerShell, Python. DevOps & CI/CD: Knowledge of Azure DevOps, GitHub Actions, Jenkins, Kubernetes, Docker. Security & Compliance: Familiarity with Azure Security Center, Azure AD, Key Vault, Microsoft Defender for Cloud, Sentinel, and Zero Trust Model. Networking & Hybrid Cloud: Experience with ExpressRoute, Load Balancers, Private Link, Virtual WAN, Azure Arc. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Prometheus, and Grafana. Cloud Migration: Hands-on experience in cloud migrations using Azure Migrate, including planning and execution. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Ability to work in agile environments and across cross-functional teams. A passion for continuous learning and staying updated with the latest Azure technologies. Preferred Qualifications: Azure Certifications such as Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500), or Azure DevOps Engineer (AZ-400). Experience with multi-cloud environments (AWS, GCP). Familiarity with database technologies (SQL, NoSQL, PostgreSQL, MySQL). Location Bengaluru, Karnataka, India Education/Qualification Bachelor s degree in Engineering or Technology (B.Tech/BE). Years of Experience 10 to 15 years of professional experience in cloud infrastructure and architecture design. Be part of a fast-growing startup where you can make a direct impact. Competitive salary and a comprehensive benefits package. Access to cutting-edge technologies and continuous learning opportunities. Flexible working hours and a collaborative work culture focused on innovation and growth. If you're an experienced Azure Infrastructure Architect passionate about designing and optimizing cloud solutions with Microsoft Azure, we would love to hear from you! Join CloudSEK and be part of a forward-thinking team revolutionizing the cybersecurity landscape. Qualification : Bachelors degree in Engineering or Technology (B.Tech/BE).

Principal Engineer, Google Cloud VMware Engine Google - Bengaluru, Karnataka, India Join Google Cloud in Bengaluru, Karnataka, India and play a pivotal role in the Google Cloud VMware Engine (GCVE) team! Our mission is to empower customers to seamlessly move their VMware-based applications to Google Cloud without altering their existing apps, tools, or processes. As a Principal Engineer, you will spearhead the technical strategy for GCVE, driving the development of highly performant and scalable infrastructure with fully redundant and dedicated networking. You will ensure the availability necessary for demanding enterprise workloads and pioneer innovative solutions to dramatically reduce cloud migration timelines. In this critical role, you will lead the execution and delivery of the overall GCVE Systems Design. This includes influencing compute server design, platform architecture, network fabric, large cluster level Service Level Objectives (SLOs), reliability, observability, and alerting. You will also be instrumental in how these systems integrate with the broader Google Cloud Infrastructure and Services. Collaboration with external partners, particularly VMware, to co-create groundbreaking solutions will be a key aspect of this role. Leveraging your deep understanding of emerging cloud technologies, you will address the unique cloud requirements of VMware workloads. Your technical expertise will be crucial in bringing innovative software solutions to market, understanding enterprise workload requirements, and utilizing open source technologies. Google Cloud is dedicated to accelerating every organization's digital transformation. We provide enterprise-grade solutions leveraging Google s cutting-edge technology and developer-friendly tools. Join us as a trusted partner for customers in over 200 countries and territories, enabling their growth and solving their most critical business challenges. Responsibilities: Develop a forward-thinking technical roadmap for the Google Cloud VMware Engine organization, fostering continuous innovation and the implementation of novel systems solutions. Design, build, and deploy highly scalable solutions leveraging Google compute platforms, robust hardware, advanced networking, and sophisticated software infrastructure to deliver exceptional systems for VMware workloads at scale. Collaborate effectively across engineering teams involved in the build, design, and implementation of hardware and software spanning infrastructure domains such as platforms, server architecture, compute, storage, networking, and data analytics. Influence and establish best engineering practices for managing robust and scalable systems to proactively address exponential market demand. Provide technical leadership for cloud developer technology within Google and manage collaborations with cross-functional Engineering teams to optimize the adoption of Google Cloud Platform capabilities, both internally and for the broader cloud industry. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience. 15 years of experience in hardware and software design, data structures, and algorithms. Preferred Qualifications: Master's degree. Proven experience in delivering successfully within stipulated timelines. Demonstrated experience in successfully building software and large-scale distributed systems. Comprehensive understanding of private and public cloud design considerations and limitations in virtualization, global infrastructure, hypervisor technologies, networking, data storage, and security. Exceptional ability to work cross-functionally, partnering effectively with groups such as Sales, Engineering, Product Management, Product Marketing, UX, and UI, skillfully brokering trade-offs with stakeholders and understanding their diverse needs. Excellent narrative and storytelling skills with a proven ability to drive usage, adoption, and market momentum. Qualification : Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.

Staff/Senior Staff AI Developer Advocate Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary We are looking for Developer Advocates to enable developers building with generative AI and AI-driven hardware applications. You will engage with the community and create resources to onboard developers on our platforms. Qualcomm products touch multiple industries, including mobile, laptops, mixed-reality, robotics, and industrial IoT. You will work closely with product, engineering, and regional sales teams to drive awareness and engagement for our platforms. You are a builder who loves writing code and integrating AI models into applications. Whether it's language-based use cases, computer vision, or audio, you can effortlessly integrate open-source models (large or small) and distilled models into applications. You are also a community builder, engaging, ideating, and helping others realize their development goals. Your contributions and insights from the community will directly impact product improvements, drive feature prioritization, and help create a repository of community-contributed sample applications, tutorials, and content. You will engage with community builders and influencers to build ecosystems that encourage constant collaboration. Responsibilities Engage with external developers in at least one of the following application areas: IoT, Automotive, Microsoft device ecosystem. Collaborate across software, hardware engineering, developer marketing, and product management teams. Understand trends in ML model design and workflow through academic research and developer engagements. Ensure comprehensive sample applications for AI on Linux/Windows using Snapdragon to cover a variety of models and use cases. Interface with 3rd party developers and internal teams to create easy-to-use sample applications and documentation for Windows on Snapdragon. Contribute new features and designs to the Qualcomm AI toolkit to enhance the developer workflow. Minimum Qualifications Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. 6+ years of software engineering, systems engineering, or related work experience. Preferred Qualifications Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU programming, and parallel computing. Experience with large language models/foundational models is a plus. Good understanding of the complete AI software stack and AI performance tuning techniques on GPU, NPU-based systems. Experience in developing end-to-end AI applications on Windows using Windows ML, DirectML. Experience with training and deploying models on servers and porting them to client Windows compute platforms, including inference deployment and performance tuning. Proficiency in programming languages such as Python and C++. Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Strong leadership abilities to guide development teams. Attention to detail with strong problem-solving, analytical, and debugging skills. Ability to adapt quickly and learn in a fast-changing environment. Familiarity with software development methodologies, version control systems, and agile project management practices. 12+ years of application development experience, with 5+ years in AI application development on Windows. Bachelor's degree in Computer Science or Electrical Engineering. Qualification : Bachelor's or advanced degree in computer science, artificial intelligence, or a related field.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies that meet diverse user needs. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and continues to grow every day. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud Overview: Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology and tools to help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities: Write product or system development code, focusing on building scalable and efficient systems. Participate in, or lead design reviews with peers and stakeholders to decide on the most appropriate technologies for the task. Review code developed by other developers and provide feedback to ensure best practices, such as: Style guidelines Code accuracy Testability Efficiency Contribute to existing documentation or educational content, and adapt it based on product or program updates and user feedback. Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and understanding their impact on hardware, network, or service operations and quality. Qualification : Master's degree or PhD in Computer Science or related technical fields.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Job Description: SaaS Cloud Ops Specialist We are looking for SaaS Cloud Ops specialists involved in managing and supporting cloud-based applications, databases, and services. These roles can include: Designing, planning, implementing, onboarding, configuring, and managing cloud environments and applications; troubleshooting and resolving cloud services issues; maintaining, monitoring, planning, and documenting; and infrastructure-level automation experience. Career Level - IC3 Responsibilities As part of the Oracle Finance GIU - Banking-Application Management Support team, SaaSOps will be taking complete responsibility for supporting & maintaining OCI cloud-based applications, environments, and databases on OCI (Oracle Cloud). The new hire is expected to support 24x7 Production Operations for SaaS customers, associated banking cloud services, and products. Candidate should have expertise in the below (at least 3-4 from below): Kubernetes administration (Mandatory) Oracle Database administrator (Mandatory) OCI administration / or any other cloud administration (Mandatory) Linux (Mandatory) Excellent Communication Skills (Mandatory) 24*7 Production Operations (Mandatory) Expertise in Autonomous Database Automation experience CI/CD Pipelines Knowledge in GIT Repository Disaster Recovery (DR) SaaSOps is expected to possess strong troubleshooting skills and will need to work on a ticketing-based system to resolve issues and monitor various aspects of the cloud services as part of the day-to-day job. Also, he/she will work on critical and non-critical issues from the queues, escalation channels, and other modes of assignments. The candidate would be expected to update Service Requests with technical and non-technical solutions, meet SLA requirements, and interact with other functional teams, customers, customer management teams, and Product engineering teams as and when required.

Job Description: Site Reliability Engineer - OCI Cloud Engineering Team Role: Site Reliability Engineer (SRE) Team: OCI OLTP (Online Transaction Processing) Location: Kiev Career Level: IC2 Experience: 5+ years Overview: Oracle Cloud Infrastructure s (OCI) OLTP organization is seeking a Site Reliability Engineer (SRE) to join our dynamic and fast-paced Cloud engineering team. The team is responsible for mission-critical distributed systems and cloud services, and we are looking for an engineer who is deeply interested in databases, distributed systems, and cloud services. If you thrive in an environment where innovation, problem-solving, and operational excellence intersect, this is an exciting opportunity for you! As a member of the SRE services, you will focus on Cloud Services, building deployments, operations, security vulnerability mitigation, and automation. You will be instrumental in fostering a culture of Site Reliability Engineering (SRE) within the team, and your work will directly contribute to ensuring the stability, performance, and reliability of Oracle s global cloud service infrastructure. This role requires someone who is adaptable, highly motivated, and capable of managing large-scale cloud environments with a focus on continuous improvement. Key Responsibilities: Cloud Service Operations & Reliability: Deploy, operate, and maintain large-scale cloud service products in a highly available, fault-tolerant, and scalable environment. Collaborate with internal teams to identify and mitigate cross-team issues that pose operational risks to cloud services. Focus on systems reliability and ensure the continuous availability of cloud services by automating tasks and eliminating manual interventions. Automation & Improvements: Automate operational tasks and improve service deployments, focusing on scaling, performance, and uptime. Contribute to CI/CD systems, ensuring seamless integration and continuous delivery for cloud-based services. Leverage automation tools such as Terraform, Grafana, and Bitbucket to streamline operations. Security & Incident Response: Mitigate security vulnerabilities within cloud services and ensure compliance with Oracle's security standards. Participate in on-call rotations to provide immediate troubleshooting support and ensure rapid issue resolution. Perform deep analysis of service performance and collaborate with team members to diagnose and resolve issues that affect service availability or performance. Collaborative Problem-Solving: Work closely with cross-functional teams, including development, database, networking, and storage experts, to ensure the reliability and performance of services. Identify systemic issues and potential risks, develop solutions, and ensure proper documentation and communication with stakeholders. Documentation & Knowledge Sharing: Contribute to documentation such as runbooks, operational guides, and troubleshooting manuals. Mentor junior engineers and share knowledge on best practices for site reliability engineering and cloud service operations. Continuous Learning: Stay up to date with new cloud technologies, trends, and best practices, and actively implement them in your day-to-day work. Technical and Professional Requirements: Cloud Services & Infrastructure: 5+ years of experience in SRE, DevOps, or Automation roles with a focus on large-scale infrastructure and cloud services. Hands-on experience with cloud platforms (e.g., OCI, AWS, Azure) and expertise in compute, database, networking, and storage services within cloud environments. Automation & Tooling: Proficiency with automation tools such as Terraform, Grafana, LumberJack, and Shepherd. Solid experience in using CI/CD tools and processes for cloud service deployments and operations. Scripting & Systems: Strong knowledge of scripting languages, particularly Python and Java. Familiarity with Linux systems, docker containers, virtualized infrastructure, and orchestration (e.g., Kubernetes). Performance & Troubleshooting: Excellent troubleshooting skills with a focus on performance, availability, reliability, and scalability of distributed systems. Experience in operating fault-tolerant, highly available, high-throughput distributed systems. Security & Incident Management: Familiarity with security practices and mitigating security vulnerabilities in cloud services. Proven ability to handle incident response and provide efficient troubleshooting during on-call rotations. Collaboration & Communication: Strong verbal and written communication skills, capable of working effectively with diverse teams across multiple geographies. Ability to work in a highly collaborative environment, driving operational excellence and customer satisfaction. Preferred Qualifications: Experience in operating and maintaining multi-tenant, cloud-based infrastructure with a focus on scalability and high availability. Familiarity with tools and platforms like Grafana, Prometheus, and other observability and monitoring tools. Experience in networking and storage technologies in a cloud environment. Joining OCI s OLTP team as an SRE gives you the opportunity to work with cutting-edge technologies and contribute to the operational excellence of Oracle s global cloud infrastructure. This is a chance to grow your skills in a highly dynamic environment and to solve complex problems that directly impact mission-critical cloud services. With a focus on automation, scalability, and high performance, you will be an essential part of a team that powers Oracle s leading cloud services. If you are an experienced engineer passionate about cloud technologies, automation, and ensuring the reliability of large-scale systems, we encourage you to apply and join us in this exciting journey!

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience building and developing infrastructure, distributed systems, or networks, or experience with compute technologies, storage, or hardware architecture. Experience developing accessible technologies. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions that impact billions of users worldwide. Responsibilities: Write product or system development code to build solutions at scale. Participate in, or lead, design reviews with peers and stakeholders to make technology decisions and choose the best available solutions. Review code developed by other engineers, providing feedback to ensure best practices are followed (e.g., style guidelines, checking code in, accuracy, testability, efficiency). Contribute to existing documentation or educational content, updating it based on product or program changes and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and assessing their impact on hardware, networks, or services. About the Core Team: The Core team at Google builds the technical foundation behind Google s flagship products. As the foundation of Google s platform, we are responsible for the underlying design elements, developer platforms, product components, and infrastructure that are essential for building excellent, safe, and coherent experiences for users. We influence the pace of innovation across every developer team at Google. We provide central solutions, break down technical barriers, and strengthen existing systems, creating innovative and scalable solutions that power the products used by billions of people. Qualification : Master's degree or PhD in Computer Science or related technical fields.

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

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.

Minimum Qualifications: Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience. 3 years of experience with systems automation and tooling using Python, Go, or any other programming language. 3 years of experience in managing technical infrastructure (e.g., deployment, maintenance, troubleshooting). 3 years of experience in Linux Internals, Networking, and Systems administration. Preferred Qualifications: 6 years of experience in implementing, troubleshooting, and supporting computing systems. Experience with DevOps tools such as Terraform, Puppet, Ansible, Jenkins. Experience with cloud provider ecosystems of cloud service providers. Experience in supporting large-scale complex cloud-based infrastructure. Experience in one of the High Performance Computing (HPC) Schedulers such as LSF, Symphony, NC, or SLURM. Excellent investigative, problem-solving, and communication skills. About the Job: Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don t just write code to fix bugs but emphasize the development of tools and solutions that fix classes of problems. We know it s hard to control what you can t measure so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments, and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters. Google brings together people with a wide variety of backgrounds, experiences, and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects while striving to create an environment that provides the support and mentorship needed to learn and grow. Together we engineer and build the infrastructure, tools, access, and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. In this role, you will be responsible for building and operating the underlying foundation infrastructure used for designing custom silicon. This includes compute platforms, CI/CD, Cloud, groups and Access Control Lists (ACLs), source control, dashboards, resource economy, and bench labs used by silicon engineers in their daily work. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities: Ensure the timely delivery of silicon designs using Google Cloud Platform (GCP) within a fluid environment. Monitor and uphold high standards for internal services on Google Cloud. Provide support, maintain, and deploy team-supported infrastructure and documentation. Collaborate closely with engineering teams to implement and develop on Google Cloud infrastructure. Automate tasks wherever needed. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.