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Tier-1 brand and Bengaluru metro increase applicant density, but senior specialized sensor-fusion skills narrow the pool.
Strong automotive systems, sensor-fusion, and functional safety requirements limit cross-industry transferability.
Explicit 10-15 years requirement plus automotive systems and functional safety expertise enforces strict filtering.
Define end-to-end system architectures for AI-powered robotics and intelligent automation platforms.
Drive architectural decisions across sensing, compute, networking, software, and AI domains ensuring scalability and safety compliance.
Translate customer requirements into system-level requirements and collaborate with cross-functional teams to deliver robust solutions.
Bachelor's or Master's degree in Electricals/Electronics/Instrumentation (BE/B.Tech/ME/M.Tech).
10-15 years of experience in Automotive System Engineering/Architecture.
Strong knowledge of Systems Engineering, Requirements Management, SysML/UML Modeling, Embedded Systems, and Sensor Fusion.
Familiarity with Functional Safety standards (ISO 26262, IEC 61508 or equivalent).
Experienced in integrating cross-domain technologies including AI/ML, sensor fusion, and embedded systems for industrial/non-automotive robotics.
Demonstrated ability to lead system architecture defining scalable, safety-compliant solutions in complex automotive-related domains.
Skilled in systems engineering methodologies (preferably INCOSE) and tools like EA, JIRA, Polarion to manage requirements and architecture traceability.