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.

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

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