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Senior, niche automotive AI role in Gurugram with specialized skillset reduces applicant competition.
Heavy automotive protocols, vehicle diagnostics, and telematics focus make skills less transferable across industries.
Mandatory 15+ years, specific C++/Python and automotive protocol expertise create stringent screening filters.
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Design and implement high-performance, scalable data pipelines and AI-driven platforms using C++ and Python, focused on automotive diagnostics and telematics.
Architect and optimize large-scale distributed systems for real-time and batch processing of automotive data with emphasis on performance and reliability.
Lead technical design discussions, mentor engineering teams, and collaborate with global teams to translate business needs into automotive-standard technical solutions.
15+ years of software engineering experience.
Strong hands-on expertise in C++ and Python, with experience in data engineering and AI/ML integration.
Proven experience building distributed systems and large-scale data processing pipelines in automotive domain.
Strong understanding of automotive protocols (CAN, OBD-II, ODX, OTX, UDS, DoIP) and software architecture patterns (microservices, event-driven).
Experienced technologist with deep domain knowledge in automotive software and diagnostics data systems.
Capable of operating at both architectural and hands-on engineering levels, combining system design with active coding.
Proven leadership in mentoring engineers and driving global, large-scale engineering initiatives with cross-cultural collaboration.