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Tier-1 employer in Bangalore with mid-level expectations increases applicant density despite niche technical requirements.
Strong automotive, ROS2, real-time and embedded emphasis reduces cross-industry transferability.
Explicit 1–5 year requirement plus mandatory niche tools and safety-critical experience makes filters strict.
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Design, deploy, and supervise multi-agent AI workflows for engineering automation with code review and security validation responsibility.
Develop, test, and scale prototypes integrating automotive hardware/simulators with cloud endpoints.
Configure and manage telemetry pipelines to monitor live simulation data from connected vehicle components in edge-to-cloud environments.
1 to 5 years of professional software engineering experience in startups, R&D labs, or automotive groups.
Proficiency in Rust or Modern C++ (17/20/23) and Python; experience with AI tooling like LangChain or CrewAI, and containerization (Docker/Kubernetes).
Bachelor’s or Master’s degree in Computer Science, Robotics, Embedded Systems, Electrical Engineering, or related quantitative field.
Experience with ROS 2, Linux/Real-Time Linux environments, or basic AUTOSAR concepts.
Experienced in building or launching software connecting edge hardware to cloud solutions, with a portfolio including production-grade POCs or open-source contributions.
Operates with system-level thinking bridging cloud-native software and safety-critical automotive systems.
Possesses a rigorous analytical approach prioritizing thorough automated testing and validation of AI-generated and human code.