Experince: 8 to 12 years

Work Location: Bangalore & Pune

Notice Period: immediaet to 30 Days

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 workplace 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.

AI/ML,C++,Python,PyTorch ,GPU/embedded
camera, radar, LiDAR

📌 ADAS AI/ML system development Experts (India)
🏢 KPIT Technologies
📍 India