Key Responsibilities

- Design end-to-end Physical AI architectures for autonomous systems and robotic platforms
- Lead integration of SLAM, path planning, motor control, and vision pipelines
- Work with edge AI platforms: Qualcomm Snapdragon, NVIDIA Jetson, and similar processors
- Architect multi-function camera pipelines for real-time perception and decision-making
- Design precise motor control systems and feedback mechanisms for robotic actuators
- Develop ROS-based solutions and optimize for production environments
- Mentor hardware, firmware, and software engineers on Physical AI best practices
- Communicate technical solutions to stakeholders and clients with clarity

Core Technical Skills

- Hands-on experience building Physical AI solutions from concept to deployment
- SLAM (Simultaneous Localization and Mapping) algorithms and implementations
- ROS (Robot Operating System)



architecture and optimization
- Precise motor control, PID tuning, and feedback systems
- Edge AI platforms: Qualcomm Snapdragon, NVIDIA Jetson, MediaTek, and similar
- Path planning algorithms (RRT, Dijkstra, A*, and variants)
- Multi-function camera pipeline design and real-time processing
- Computer vision (OpenCV, TensorFlow, PyTorch) for robotics
- Vision Language Models (VLM) and Vision Language Action (VLA) for embodied AI
- Robust communication and presentation skills for client and team engagement

Location- Bangalore
Notice Period- 0-30 days (Please prioritise Immediate joiners)

Budget- 50LPA

Experience- 8-15 Years

Preferred candidate profile

📌 Physical AI Architect (Bengaluru)
🏢 Mergen Corporates
📍 Bengaluru