Physical AI Architect

Cyient Limited; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Cyient Limited in Bengaluru seeks an AI/Robotics engineer to define end-to-end architecture for intelligent robotic systems and design perception pipelines for vision and localization. You will develop RL and Vision-Language-Action approaches for robust decision-making.

The role emphasizes Explainable AI, uncertainty estimation, edge AI for real-time inference, and cloud-scale deployment with scalable training. Collaboration with robotics, perception, controls, and software teams is essential.

Qualifications

• Bachelor's or Master's degree in Electronics, Mechtronics or related field.
• 5 - 10 years of experience in Product Management, Technical Product Management, Program Management, or a closely related role.

Responsibilities

• Define the end-to-end AI/Robotics architecture for intelligent and autonomous robotic systems.
• Design and develop robot perception pipelines for vision, sensor fusion, object detection, tracking, localization, and scene understanding.
• Develop and integrate RL and Vision-Language-Action based approaches for robotic decision‑making, planning, and control.
• Design AI systems with Explainable AI capabilities to improve transparency, interpretability, and debugging of robotic decisions.
• Develop uncertainty estimation and confidence‑aware AI techniques for robust and safe operation in real‑world environments.
• Architect and optimize Edge AI solutions for real‑time inference on resource‑constrained robotic platforms.
• Design cloud inference and production AI infrastructure for scalable model serving, monitoring, deployment, and lifecycle management.
• Develop parallel/distributed training pipelines for large‑scale AI and robotics models using GPUs and multi‑node compute infrastructure.
• Work closely with robotics, perception, controls, simulation, and software teams to translate research concepts into production‑ready robotic systems.
• Evaluate emerging AI/robotics technologies and define technical roadmaps for next‑generation robotic intelligence.

Skills

AI/ML system architecture

Robotics AI

Robot perception

Reinforcement Learning

Vision-Language-Action

Explainable AI

Uncertainty estimation

Edge AI

Python

C++

PyTorch

TensorFlow

NVIDIA Jetson

CUDA/TensorRT

Education

Bachelor's or Master's degree in Electronics, Mechtronics or related field

Job description

Key Responsibilities

• Define the end-to-end AI/Robotics architecture for intelligent and autonomous robotic systems.
• Design and develop robot perception pipelines for vision, sensor fusion, object detection, tracking, localization, and scene understanding.
• Develop and integrate Reinforcement Learning (RL) and Vision-Language-Action (VLA) based approaches for robotic decision‑making, planning, and control.
• Design AI systems with Explainable AI (XAI) capabilities to improve transparency, interpretability, and debugging of robotic decisions.
• Develop uncertainty estimation and confidence‑aware AI techniques for robust and safe operation in real‑world environments.
• Architect and optimize Edge AI solutions for real‑time inference on resource‑constrained robotic platforms.
• Design cloud inference and production AI infrastructure for scalable model serving, monitoring, deployment, and lifecycle management.
• Develop parallel/distributed training pipelines for large‑scale AI and robotics models using GPUs and multi‑node compute infrastructure.
• Work closely with robotics, perception, controls, simulation, and software teams to translate research concepts into production‑ready robotic systems.
• Evaluate emerging AI/robotics technologies and define technical roadmaps for next‑generation robotic intelligence.

Core Technical Skills

• Strong experience in AI/ML system architecture and robotics AI.
• Strong understanding of robot perception and computer vision.
• Hands‑on experience with Reinforcement Learning (RL) and modern learning‑based robotics approaches.
• Understanding or practical experience with Vision‑Language‑Action (VLA), Vision‑Language Models (VLMs), or multimodal AI.
• Knowledge of Explainable AI, uncertainty estimation, probabilistic modeling, and confidence‑aware decision‑making.
• Experience deploying AI models on edge/robotic hardware, with an understanding of latency, compute, memory, and power constraints.
• Experience building cloud‑based inference and production ML systems.
• Strong understanding of parallel/distributed training, GPU computing, and large‑scale model training.
• Strong programming skills in Python and C++.
• Experience with modern deep‑learning frameworks such as PyTorch or TensorFlow.
• Experience with Qualcomm Platform, NVIDIA Jetson, CUDA, TensorRT.
• Experience with simulation platforms such as NVIDIA Isaac Sim, Gazebo, or similar.
• Experience with LLMs, VLMs, foundation models, multimodal models, and embodied AI.

Required Qualifications

• Bachelor's or Master's degree in Electronics, Mechtronics or related field
• 5 - 10 years of experience in Product Management, Technical Product Management, Program Management, or a closely related role.

Job Location

• Bangalore