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 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.
- Solid 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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