Senior Embedded AI Engineer (Automotive / ADAS)
Job Overview
We are seeking a highly skilled Embedded AI Engineer to design and optimize next-generation artificial intelligence perception systems for Automotive ADAS/AD applications. In this role, you will bridge the gap between cutting-edge deep learning models and resource-constrained embedded hardware. You will support the evaluation of AI Systems-on-Chip (SoCs), ensuring our perception algorithms run efficiently, reliably, and at peak performance on the edge.
Roles and Responsibilities
Develop AI Perception Systems: Design, implement, and deploy artificial intelligence-focused perception pipelines for automotive systems.
Optimize Edge Deployment: Deploy deep learning models on edge AI SoCs and optimize inferencing applications on accelerators like DSPs, NPUs, TPUs, or GPUs.
Integrate Algorithms: Define explicit software interfaces, implement effective code, integrate algorithms, and lead testing activities.
Prototyping & Benchmarking:
Build functional prototypes for the proof-of-concept phase and benchmark algorithm performance.
Hardware Selection: Evaluate hardware options and collaborate as part of the Subject Matter Expert (SME) team for automotive AI SoC selection.
Cross-Functional Collaboration: Act as a technical bridge, communicating seamlessly with interdisciplinary algorithm experts and system developers.
Your Background
B.Tech, Master’s, or Ph.D. in Computer Science, Automotive Engineering, Robotics, or a related field.
Experience & Core Skills
Overall Experience: 6+ years of professional software engineering experience.
Embedded Software: Minimum of 2 years of proven, hands-on experience in embedded software development.
Programming Mastery: Strong programming skills in C and C++, including the expert application of compiler and debugging methods.
Software Optimization: Deep understanding of code optimization approaches and memory dependencies.
Analytical Mindset: Valuable analytical
📌 Senior Embedded Ai Engineer Bengaluru (India)
🏢 Aptiv
📍 India