Top Tech Jobs & Startup Jobs in Chennai

Leads specialized technical and R&D recruitment, manages candidate pipelines, develops employee engagement initiatives, handles confidential grievances, maintains HRIS data integrity, and produces dashboards, headcount metrics, turnover analyses, and workforce reports for leadership.

Lead the company’s IT and information security foundation, including cloud and on-premises infrastructure, HPC systems, servers, endpoints, networking, remote access, backups, disaster recovery, security monitoring, compliance, Google Workspace, and IT support operations. Build scalable policies, systems, and processes from scratch while managing infrastructure performance, asset lifecycles, cybersecurity, and employee technical support.

Creates, edits, and maintains technical documentation for avionics, flight controls, and integrated aerospace systems. Responsibilities include authoring SOPs, manuals, test procedures, reports, specifications, and certification documentation; coordinating with engineering experts; enforcing documentation standards; and managing document versions, reviews, and archives. The role requires strong technical writing, engineering understanding, document-control skills, and proficiency with Microsoft Office, with aerospace standards and specialized authoring tools preferred.

Design and integrate manufacturing processes, tooling, fixtures, and assembly strategies for high-voltage battery modules and packs. Develop detailed CAD models and production drawings, perform tolerance stack-up analyses, support prototype builds, and validate tooling and processes. Collaborate with product design, quality, suppliers, and manufacturing teams on battery assembly operations including laser welding and adhesive dispensing.

Create and maintain aerospace and powertrain technical publications, including manuals, service bulletins, installation guides, assembly procedures, and validation documentation. Collaborate with mechanical, electrical, thermal, and test engineers to ensure technical accuracy and certification compliance. Manage documentation workflows, issues, requirements traceability, and engineering changes using Jira, Visure, DOORS Next, and Confluence. Produce technical illustrations from CAD models and support XML/S1000D authoring for electric propulsion, batteries, inverters, transmissions, and aircraft systems.

Supports stores and inventory operations, including material receiving, verification, storage, labeling, issuing, returns, stock records, bin locations, and traceability. Coordinates with supply chain, quality assurance, and end users on documentation and material needs. Maintains housekeeping, 5S, and safe storage standards while using ERP systems, Excel, FIFO/FEFO, and inventory documentation practices.

Manage manufacturing configuration control by processing engineering and manufacturing changes, maintaining BOMs and production baselines, synchronizing PLM, ERP, and MES data, conducting impact analyses and audits, ensuring AS9100 compliance, and improving configuration management processes and documentation. The role coordinates cross-functional approvals and supports shop-floor execution.

Designs 3D CAD models, detailed engineering drawings, and bills of materials. Applies design for manufacturability principles, collaborates with production teams, and maintains design records, safety compliance reports, and technical manuals. Requires a bachelor’s degree in mechanical engineering or a related field, proficiency with CAD and analysis software, and knowledge of GD&T, material science, and manufacturing processes.

Test and validate 6-DOF aircraft flight-dynamics models using MATLAB/Simulink, Python, and C/C++. Perform flight mechanics, stability, control, performance, propulsion, and aerodynamic analyses across the flight envelope. Develop test cases, scripts, simulations, and verification evidence; correlate models with wind-tunnel, ground-test, and flight-test data; analyze failures and degraded modes; and support certification documentation and system safety activities.

Develop and deploy machine learning tools for engineering simulation applications, including surrogate models, data pipelines, chained model systems, and retraining workflows. Audit simulation data, prototype and productize research, benchmark model performance, establish evaluation methodologies, and deploy AI tools to engineering teams. The role requires deep learning experience with scientific or engineering data, strong Python ML libraries, surrogate modeling, and database and retrieval pipeline skills.