Software AI Engineer

Job Description

Role Overview As a Software AI Engineer in the System Optimization team, you will contribute to developing scalable, efficient AI-powered solutions deployed on edge devices. This role involves working with a multidisciplinary team to enhance software performance, optimize resource usage, and streamline AI model integration into production environments. Responsibilities Contribute to the development of tools and frameworks for performance measurement and system optimization. Assist in profiling and tuning AI models and software components for deployment on edge platforms (CPU/GPU/DSP). Support algorithm integration for driver monitoring and driver assistance systems. Help optimize data pipelines and logging/reporting mechanisms to support real-time analytics. Collaborate with senior engineers to identify bottlenecks and implement efficient code. Support debugging and triaging of issues in production and test environments. Required Skills B.E/B.Tech or M.E/M.Tech in Computer Science, Electronics, Electrical, or related fields. 23 years of experience in software development, preferably in embedded or IoT environments. Good grasp of CS fundamentals including data structures, algorithms, and operating systems. Proficiency in at least one programming language: C/C++, Python. Basic knowledge of system profiling, performance tuning, or resource optimization. Familiarity with ML/CV concepts and frameworks such as OpenCV, TensorFlow, PyTorch, or ONNX is a plus. Exposure to build systems (Make/CMake), version control (Git), and CI/CD tools like Jenkins. Preferred (Good to Have) Familiarity with embedded/edge computing platforms such as NVIDIA Jetson, Qualcomm Snapdragon, etc. Exposure to ML optimization tools like TensorRT, SNPE, or OpenVino. Understanding of containerization (Docker) and orchestration (Kubernetes) environments. Hands-on experience with Linux-based development and debugging.