Top Tech Jobs & Startup Jobs in Chennai

Design and implement optimization and planning algorithms for engineering automation. Build constraint-handling logic, benchmarking and visualization tools, define metrics, run applied ML experiments for ranking and learned cost functions, and collaborate with platform, AI, and domain engineers to productionize algorithmic solutions.

Build and operate backend APIs and platform services for AI-assisted engineering automation, focusing on long-running workflows, job queues, data/artifact handling, reliability, observability, containerized deployments, and integrations with AI/ML services and automation engines.

Perform signal- and power-integrity simulation, modeling, and verification for high-speed PCB products. Lead SI/PI analysis from design through prototype evaluation, collaborate with cross-functional teams, use measurement instruments for validation, and guide high-speed communications hardware designs.

Own and support the end-to-end PLM (Windchill) lifecycle: development, configuration, upgrades, integrations (ERP, CAD), and data integrity. Gather stakeholder requirements, customize workflows/lifecycles, coordinate vendors, provide user support/training, and maintain system performance and stability.

Design and build AI assistant workflows and tool-using agents that connect to platform APIs, engineering data, documents, and automation. Develop knowledge-ingestion pipelines, evaluation datasets, workflow templates, and integrations enabling agents to call real tools and produce traceable, reviewable outputs. Create tests to ensure correctness, usefulness, and safety.

Supports human resources, office administration, and marketing activities in a semiconductor engineering services startup. Responsibilities include employee records, onboarding, attendance, engagement, HR reporting, office operations, vendor coordination, procurement, meetings, events, marketing collateral, website and social media updates, industry conferences, and customer or partner databases.

Develop and maintain AI-assisted development capabilities for the Eclipse-based SmarTest semiconductor testing environment. Integrate and optimize GitHub Copilot, resolve Eclipse and integration defects, implement customer-specific features, and perform testing and quality assurance. Translate customer requirements into technical solutions, provide technical assistance, evaluate changes in AI and Eclipse technologies, and collaborate with Microsoft, Advantest teams, and external partners to improve developer productivity and user experience.

Lead a post-sales team to ensure customer satisfaction by providing after-sales support for automated test equipment and identifying solutions to improve production efficiency and hardware debugging.

Lead development of iJTAG (IEEE 1687) based test solutions and DFT methodologies (scan, BIST, hierarchical access). Build AI/ML features for pattern compaction, failure prediction, and root-cause analysis. Develop scalable automation frameworks in Python/C++ and streamline workflows using Tcl/Perl/Shell. Create APIs and pipelines for large-scale ingestion of ATE logs and STIL/WGL patterns, and produce data processing and visualization dashboards.

The Application Manager leads a team supporting Advantest equipment, manages application support activities, and engages with customers on operational matters.