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Tier-1 brand, Bangalore metro location, and broad AI/embedded skillset amplify competition.
Role demands niche edge AI, embedded, robotics, and safety-critical experience, limiting cross-industry transferability.
Explicit 10+ years, 3+ years management, and specialized edge AI/embedded requirements enforce strict shortlisting.
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Lead and grow an engineering team developing scalable Edge AI platforms for robotics and intelligent systems, focusing on embedded software, AI model deployment, and system optimization.
Define and execute technical roadmap, architecture, and engineering best practices for Edge AI, embedded computing, and robotics software across heterogeneous computing platforms.
Balance hands-on technical leadership with people management, directly contributing to architecture reviews, software development, and deployment strategies while managing project delivery and risk.
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Robotics, Computer Engineering, or related discipline.
10+ years experience developing software and AI solutions for embedded systems, robotics, autonomous systems, or edge computing.
3+ years of engineering management or technical leadership experience with proven success in building and leading high-performing teams.
Expertise in C/C++, Python, AI/ML workload deployment and optimization on embedded/edge platforms, heterogeneous computing architectures, Linux-based embedded systems, and systems engineering including requirements management and verification.
Senior leader with strong technical expertise in AI, embedded and robotics software engineering, comfortable leading cross-disciplinary engineering teams in product development lifecycle.
Experienced in developing and deploying AI models and systems on diverse hardware platforms including CPU, GPU, NPU, DSP, FPGA, with understanding of AI deployment frameworks (e.g., TensorRT, ONNX Runtime).
Proven ability to guide strategic technical decisions, foster engineering best practices, and deliver scalable, production-ready Edge AI and robotics solutions in complex, safety-critical, or regulated environments.