Top Tech Jobs & Startup Jobs in Mumbai

Lead embedded software development and verification for DO-178B/C aerospace programs. Drive test architecture, tools, and processes; use C/C++/Python and MATLAB; apply debuggers, simulators, VectorCAST, and GenAI (LLMs/ChatGPT) to automate tasks. Conduct PDR/CDR/TRR/reviews, bench setup, audits, evaluate new technologies, influence software architecture, mentor engineers, and manage stakeholders to meet quality, cost, and schedule objectives.

Lead embedded avionics software development and verification efforts following DO-178B/C. Define test architectures, tools, and processes; drive improvements, influence stakeholders, mentor engineers, and evaluate new technologies to improve productivity, quality, and cycle time.

Lead development and verification of avionics embedded software per DO-178B/C. Define test architecture, tools and processes; use C/C++/Python and GenAI to automate; drive technical decisions, PDR/CDR reviews, stakeholder coordination, talent strategy, and evaluate new embedded technologies. Mentor engineers and ensure quality, cost, and schedule objectives.

Design and verify avionics embedded software through test design, verification & validation, and use of debuggers and simulators. Develop and test embedded code (C/C++/Python), apply V&V methodologies, and contribute to technical improvements for Communication, Navigation, and Surveillance products.

Lead Teamcenter PLM solution architecture, design client/server and integration with CAD and SAP, drive Teamcenter enhancements and upgrades, configure Active Workspace and data models, enforce PLM best practices, and coordinate global stakeholders.

Lead embedded software verification for core platform components (boot, HAL, drivers). Develop and execute requirement- and scenario-based test plans, perform change impact analysis, execute tests, guide junior engineers, manage stakeholders, address technical issues and audits, and drive continuous improvement using verification tools and emulators.

Technical lead for advanced analytics within Customer Experience: design, build, and deploy ML solutions, lead complex modeling, mentor data scientists, set modeling best practices, partner with data engineers and business leaders, and translate analytic insights for senior stakeholders.