Engineering Manager - Edge AI & Robotics

Overview

Engineering Manager for Edge AI & Robotics, leading a technical team developing next-generation edge AI platforms for robotics and intelligent systems.

What you'll do

• Build, lead, and grow an engineering team for edge AI, robotics, and embedded software.
• Define and execute a technical roadmap for edge AI and robotics platforms.
• Drive architecture decisions across edge AI, embedded computing, robotics software, and intelligent machine platforms.
• Lead systems engineering and requirements management across the full product lifecycle.
• Serve as hands-on technical leader for architecture reviews, software design, and critical engineering challenges.
• Oversee edge AI platform development for perception, computer vision, sensor fusion, and intelligent decision-making.

What you'll need

• 10+ years of experience developing software and AI solutions for embedded systems, robotics, autonomous systems, or edge computing platforms.
• 3+ years of engineering management, technical leadership, or team leadership experience.
• Master's degree or PhD in computer science, electrical engineering, artificial intelligence, robotics, computer engineering, or related discipline.
• Expert-level proficiency in C/C++ and Python.
• Deep experience deploying and optimizing AI/ML workloads on embedded and edge computing platforms.
• Strong understanding of heterogeneous computing architectures (CPU, GPU, NPU, DSP, FPGA, accelerators).
• Experience with AI deployment frameworks such as TensorRT, ONNX Runtime, OpenVINO, TFLite, TVM, or equivalent.

Details

• Location: Bangalore, India.