Research Engineer-ADAS

Position Summary

Key Responsibilities

• Research, design, and develop novel deep learning architectures and algorithms.
• Evaluate state-of-the-art methods and advances in deep learning frameworks.
• Build and optimize deep learning technologies for computer vision domains (e.g., object detection, video analysis, scene classification).
• Design and optimize deep neural networks for integration into commercial robotic products.
• Drive adoption of machine learning/deep learning solutions in next-generation NHRSL products.
• Build prototypes to demonstrate proof-of-concepts and collaborate with business units for productization.
• Write clean, reusable, and efficient code in Python, C/C++, or other programming languages.
  

Qualifications

• Bachelor’s/Master’s in Computer Science (AI/ML specialization) or equivalent.
• Strong knowledge of computer vision, ML, deep learning techniques (CNNs, RNNs, LSTMs, dropout, pooling, etc.) and optimization strategies.
• Hands-on experience with deep learning libraries such as TensorFlow, PyTorch etc.
• Proven programming proficiency in C/C++, Python, or similar languages.
• Experience with GPU programming, high-performance computing, or big-data platforms is a plus.
• Prior exposure to integrating ML/DL in real-time systems, mobile applications, or commercial products is desirable.
• Excellent communication, teamwork, and collaboration skills with a proactive and self-driven approach.
• Ability to thrive in a fast-paced, results-oriented environment.