Software AI Engineer

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.