Senior Artificial Intelligence/Machine Learning Engineer - ADAS Apps (4-10 yrs)

Automotive-grade development standards (C++ is a MUST)

Details of the Opportunity :

Job Role : AIML Engineer with C++

Job Location : Pune

Mode of work : Hybrid

Mode of Hire : FTE

Must Have :

Position Overview :

We are seeking a highly skilled Senior AI/ML Engineer to develop and optimize AI models for ADAS applications. The ideal candidate will have experience in deep learning, computer vision, sensor fusion, and real-time embedded AI deployment. You will work closely with cross[1]functional teams to build robust perception and decision-making models for next-generation automotive safety and automation.

Key Responsibilities :

- Design, develop, and deploy AI/ML models for ADAS applications such as object detection, segmentation, tracking, and path planning.

- Develop computer vision and sensor fusion algorithms integrating data from LiDAR, radar, cameras, and other sensors.

- Optimize deep learning models for real-time performance on embedded automotive hardware (e.g., NVIDIA Drive, Qualcomm Snapdragon, custom ASICs).

- Collaborate with software engineers to implement AI models into embedded systems and cloud environments.

- Conduct data collection, annotation, and augmentation for model training and validation.

- Develop robust testing frameworks to evaluate AI model performance under diverse driving conditions.

- Stay up to date with the latest research in AI/ML and automotive perception, integrating innovations into production systems

Qualifications :

- Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.

- 5+ years of experience in AI/ML development, with a focus on deep learning and computer vision.

- Strong proficiency in TensorFlow, PyTorch, OpenCV, and ROS.

- Experience with real-time AI inference optimization on edge computing platforms (e.g., TensorRT, ONNX, OpenVINO).

- Familiarity with automotive-grade development standards (C++ is a MUST).

- Experience working with autonomous vehicle datasets (e.g., KITTI, nuScenes, Waymo Open Dataset).

- Knowledge of SLAM, sensor fusion, Kalman filters, and state estimation.

- Strong problem-solving skills and ability to work in a fast-paced startup environment.