Senior Embedded AI Engineer (Edge AI Systems Architect)
Asiacruit BPO, Inc.5+ yrsDelhi NCROn-siteDirect career pageEst. 15–30 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and optimize embedded AI computing architectures primarily using NVIDIA Jetson platforms like Jetson AGX Orin.
- Deploy and optimize AI inference performance with CUDA, TensorRT (including TensorRT-LLM), and neural network quantization on embedded and robotic hardware.
- Integrate and synchronize multi-sensor data (3D LiDAR, RGB-D, stereo cameras, IMUs) and ensure system reliability under hardware, power, and thermal constraints including implementation of hardware watchdogs.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
- At least 5 years of embedded systems experience with substantial embedded AI or edge computing experience.
- Proven experience deploying AI models on NVIDIA Jetson platforms or similar embedded AI hardware.
- Strong proficiency in C++, CUDA, embedded Linux, NVIDIA Jetson Linux (L4T), TensorRT, and knowledge of neural network quantization (INT8, INT4, FP8).
Ideal Candidate Profile
- Experienced architect in embedded AI systems specifically with hands-on NVIDIA Jetson platform deployment and optimization.
- Skilled in integrating complex sensor systems and real-time robotics middleware (ROS 2) in resource-constrained embedded environments.
- Capable of end-to-end system design focusing on AI inference performance, hardware integration, power/thermal management, and system reliability.