Top Tech Jobs & Startup Jobs in Chennai

The Manager of Software Test Automation will lead a hybrid team to enhance software quality, establish testing processes, and oversee automation within the PCB division, interacting closely with global R&D.

Lead the development of software for SPx products by applying technical knowledge, managing project requirements, and leading teams to deliver quality solutions while ensuring software design is scalable and robust.

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.

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.

Lead algorithm design and development for wafer inspection products, delivering image processing, computer vision, and machine learning solutions. Define performance requirements, mentor engineers, support system integration, validate and deploy algorithms, and ensure software quality and reliability.

Lead software development for KLA Surfscan SPx semiconductor inspection products. Responsibilities include software architecture, detailed design, coding, unit testing, requirements analysis, technical estimation, risk mitigation, and improving development processes. The role requires expertise in C#, C++, COM, .NET, object-oriented development, enterprise applications, and relational database design. It also involves leading small technical teams, collaborating across business and technical groups, and occasional travel to customer sites.

Leads software development for semiconductor inspection systems by improving architecture, designing scalable software, writing robust code and unit tests, assessing technical risks and requirements, and troubleshooting performance issues. Requires strong C++ and Linux expertise, parallel and distributed computing knowledge, performance optimization, cloud-native technologies, containers, messaging frameworks, serialization, and RPC. Collaborates with technical managers, project teams, and customers, contributes to estimation and planning, and travels occasionally for customer assignments.

Design and implement ML, statistical, and deep learning models (classification, anomaly detection, segmentation, forecasting) and agentic AI/LLM systems for semiconductor manufacturing. Build production-quality C++ and Python software, integrate LLMs and RAG pipelines, evaluate model performance, collaborate across engineering and product teams, and support deployment and customer adoption.

Develop, design, and unit-test OMD product software; perform requirements analysis; assess technical impacts; follow CMM software processes; mitigate technical risks; improve development procedures; support scalable, robust designs and code; travel to customer sites as needed.

Lead and coach a team of technical writers producing hardware and software documentation. Manage hiring, onboarding, performance reviews, project planning, documentation schedules, stakeholder alignment, and content quality improvements using DITA/XML and CMS tools.