AI/ML, Robotics and Computer Vision with ADAS(C++/Python) Experts

Key Responsibilities

• Design and develop end-to-end (perception-to-control) autonomous driving models.

• Build multi-modal architectures (camera, radar, LiDAR) using deep learning and transformer-based models.

• Develop world foundation models for scene understanding, motion prediction, and structured environment representation.

• Implement self-supervised and large-scale representation learning pipelines.

• Engineer robust training pipelines for large-scale real-world and simulated datasets.

• Develop corner-case mining, adversarial robustness, and long-tail scenario handling strategies.

• Optimize models for real-time automotive deployment (GPU/embedded platforms).

• Integrate AI systems into safety-critical automotive frameworks.&&Required Qualifications

• 4-5 years (minimum) of experience in AI/ML system development.

• 4+ years in autonomous driving, robotics, or real-time perception systems.

• Strong expertise in Python and C++.

• Deep experience with PyTorch or similar frameworks.

• Hands-on experience with transformers, multi-modal learning, and large-scale model training.

• Strong understanding of sensor fusion, state estimation, and vehicle dynamics.

• Experience with distributed training and high-performance computing environments.

• Experience deploying ML models in production systems.