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Tier-1 brand and Bengaluru location increase competition, but niche sensor-fusion seniority reduces applicant density.
Role requires deep automotive systems, sensor-fusion and safety experience, making cross-industry transferability low.
Explicit 10-15 years, domain-specific sensor fusion and functional safety requirements make shortlisting highly strict.
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Define and drive end-to-end system architectures for AI-powered robotics and intelligent automation platforms, including system decomposition and interface definitions.
Translate customer and market requirements into system-level and safety-compliant requirements ensuring scalable and robust solutions.
Lead architectural decisions spanning sensing, compute, networking, software, AI/ML, and functional safety integration for industrial and non-automotive applications.
Bachelor's or Master's degree in Electrical/Electronics/Instrumentation Engineering (BE/B.Tech/ME/M.Tech).
10-15 years of experience in Automotive System Engineering or Architecture.
Strong expertise in systems engineering (preferably INCOSE methodologies), requirements management, SysML/UML modeling, embedded systems, sensor fusion, AI/ML systems, and robotics platforms.
Familiarity with functional safety standards (ISO 26262, IEC 61508 or equivalent) and relevant tools like EA, JIRA, Polarion.
Experienced in bridging multi-disciplinary teams to deliver scalable AI-enabled perception and robotics solutions in industrial or automotive domains.
Proven track record in system-level architectural leadership managing complex requirements, safety concepts, and technology roadmaps.
Strong background in integrating AI/ML with sensor fusion technologies and ensuring compliance with functional safety and reliability requirements.