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Top Tech Jobs & Startup Jobs in Chennai
Hardware
Develop C++ software for mask inspection systems, collaborating with engineering teams on system requirements and optimizing existing code for performance.
Top Skills:
AIC++DockerLinuxMlQtSingularity
Hardware
Develop and maintain full-stack software for high-throughput wafer inspection and review systems. Collaborate with hardware, algorithms, and systems teams to design, validate, and optimize compute-intensive workloads. Rapidly learn new domains, use AI-assisted coding tools, contribute to testing, CI/CD, performance tuning, and cross-team communication.
Top Skills:
Ai-Assisted Development ToolsC++Ci/CdDistributed SystemsDockerHigh-Performance ComputingLinuxReact
Hardware
Lead end-to-end lifecycle, architecture, integrations, and operations for enterprise content and learning platforms. Manage a global team of platform administrators and content/IA leads, drive platform implementations, upgrades and SaaS transformations, partner with IT, Cybersecurity, and vendors, and apply AI/automation to improve content reuse, search, translation, and learning analytics.
Top Skills:
AIAutomationContent Management Systems (Cms)Ixiasoft CcmsLearning AnalyticsLearning Management System (Lms)SaaSSeclore DrmTranslation Management SystemsVfi Platforms
Hardware
Support and demonstrate KLA wafer inspection products to customers on-site and in-house; prove technical superiority versus competitors; collaborate with engineering, marketing and software teams; lead local application engineers and new use-case development; track critical projects and contribute to development and characterization of next-generation wafer inspection products.
Hardware
Lead and grow a software engineering team to design and deliver scalable, fault-tolerant distributed image-computing platforms. Drive architecture for hybrid CPU/GPU workloads, enable developer productivity, collaborate with product/hardware/algorithm teams, and manage full lifecycle from requirements through deployment and maintenance.
Top Skills:
Ai/Ml InfrastructureC++Ci/CdCloud-NativeComputer VisionContainersDevOpsDistributed Computing FrameworksGpu ComputingHpcHybrid Cpu/Gpu ArchitecturesImage ProcessingKubernetesLinux Systems ProgrammingPythonWorkflow Automation
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Hardware
Responsible for supporting wafer inspection products, demonstrating performance to customers, proving technical superiority, and leading application engineers in product development.
Top Skills:
Application DevelopmentDefect DetectionLaser ScanningMetrologySemiconductor ManufacturingWafer Inspection Systems
Hardware
Design and improve electron-beam imaging products for semiconductor inspection: specify SW/algorithms/HW, run experiments, model and analyze data, integrate and characterize subsystems (optics, detectors, HV, vacuum, wafer handling), support customers onsite, and present technical results. Heavy travel required.
Top Skills:
Detection And Classification AlgorithmsElectron OpticsHigh VoltageImaging DetectorsMachine ControlMatlabPythonScanning Electron MicroscopeUi SoftwareVacuum Systems
Hardware
Design and improve electron-beam imaging products and subsystems (electron optics, detectors, HV, vacuum, wafer handling). Specify SW/Algo/HW requirements, perform experiments, modeling, data analysis, characterize and integrate products, and provide high-travel on-site customer support and training.
Top Skills:
Electro-Optical SystemsElectron MicroscopesElectron OpticsHigh Voltage ElectronicsImaging DetectorsMachine ControlMatlabPythonScanning Electron MicroscopySignal ProcessingUi SoftwareVacuum SystemsWafer Transfer Systems
Hardware
Work with customers to drive product adoption and optimize semiconductor fab processes using KLA inspection and review systems. Provide pre/post-sale support, train users, investigate technical problems, run characterization experiments, collect and publish data, and report new applications to marketing. Role requires strong teamwork, technical and interpersonal skills and frequent international travel.
Hardware
Lead design and optimization of HPC software infrastructure for AI/ML workloads. Implement Linux system-level components, debug and profile CPU/GPU performance, manage data processing/storage for AI, participate in code reviews and testing, and drive innovation in HPC/AI infrastructure.
Top Skills:
C++Distributed File SystemsDockerGdbGpu ProfilingHadoopJavaKubernetesLinuxNumaPerfPythonShared MemorySocketsSparkStraceValgrind
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