Senior Embedded AI Engineer (Edge AI Systems Architect)

Asiacruit BPO, Inc.; New Delhi; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Asiacruit BPO, Inc. is seeking a Senior Embedded Edge AI Systems Architect to design and optimize AI computing systems for robotics and edge applications.

You will deploy AI models on NVIDIA Jetson platforms, optimize inference with CUDA/TensorRT, integrate sensors and ROS 2, and ensure reliability under power and thermal constraints.

Collaborate with AI, robotics, and hardware teams to validate performance on physical platforms and implement robust, low-latency data pipelines.

Qualifications

• Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or Computer Science.
• 5+ years of embedded systems experience with hands-on embedded AI/edge computing.
• Experience deploying AI models on NVIDIA Jetson or similar hardware.
• Strong C++ and CUDA programming skills.
• Experience with embedded Linux and Jetson Linux (L4T).
• Knowledge of TensorRT, TensorRT-LLM, and neural network quantization (INT8/INT4/FP8).
• Familiarity with ROS 2 integration, real-time sensor data, and IEEE 1588 PTP.

Responsibilities

• Design embedded AI computing architectures using NVIDIA Jetson platforms (Jetson AGX Orin).
• Optimize AI inference performance with CUDA, TensorRT, and quantization techniques.
• Deploy quantized models on embedded/robotic hardware.
• Develop high-performance data pipelines between AI inference and robotics middleware (ROS 2).
• Implement zero-copy data transfer and shared-memory IPC.
• Integrate sensors (LiDAR, RGB-D, stereo, IMUs) and ensure synchronization (PTP).
• Optimize power, thermal, and reliability for embedded systems.
• Collaborate with AI, robotics, and hardware teams to validate on physical platforms.

Skills

Embedded systems

C++

CUDA

Jetson platforms

TensorRT

ROS 2

IP/IPC

Hardware integration

Real-time processing

Education

Bachelor's or Master's in Computer Engineering / Electrical Engineering / Computer Science

Tools

NVIDIA Jetson

CUDA

TensorRT

Jetson Linux (L4T)

IEEE 1588 PTP

Job description

About Asiacruit

At Asiacruit, we connect top talent with forward-thinking organizations across industries. Our mission is to help businesses grow through smart, strategic, and people-focused solutions. We support companies by providing high-quality talent for local and global markets.

Position Overview

We are looking for a Senior Embedded Edge AI Systems Architect to design and optimize AI computing systems for advanced robotics and edge applications.

In this role, you will deploy AI models on embedded computing platforms, optimize inference performance, integrate sensors and software systems, and ensure reliable operation under hardware, power, and thermal constraints.

Key Responsibilities

• Design embedded AI computing architectures using NVIDIA Jetson platforms, including Jetson AGX Orin.

• Optimize AI inference performance using CUDA, TensorRT, TensorRT-LLM, and model quantization techniques.

• Deploy quantized neural network models on embedded and robotic hardware.

• Develop high-performance communication pipelines between AI inference systems and robotics middleware, including ROS 2.

• Implement zero-copy data transfer and shared-memory inter-process communication.

• Integrate and synchronize data from 3D LiDAR, RGB-D cameras, stereo cameras, and IMUs.

• Implement sensor synchronization using IEEE 1588 Precision Time Protocol (PTP) and hardware timestamping.

• Optimize system power consumption, thermal performance, and computing efficiency.

• Implement hardware watchdogs and reliability mechanisms for embedded systems.

• Collaborate with AI, robotics, and hardware engineering teams to validate system performance on physical platforms.

Qualifications

• Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

• At least 5 years of embedded systems experience, with substantial hands-on experience in embedded AI or edge computing.

• Proven experience deploying AI models on NVIDIA Jetson platforms or comparable embedded AI hardware.

• Strong proficiency in C++ and CUDA programming.

• Hands-on experience with embedded Linux and NVIDIA Jetson Linux (L4T).

• Experience optimizing AI inference using TensorRT. TensorRT-LLM experience is highly relevant.

• Understanding of neural network quantization techniques, including INT8, INT4, or FP8.

• Experience with shared memory, zero-copy data pipelines, or high-performance inter-process communication.

• Knowledge of ROS 2 integration and real-time sensor data processing.

• Familiarity with IEEE 1588 PTP, hardware timestamping, and sensor synchronization.

• Understanding of embedded hardware power management, thermal optimization, and system reliability.

Why Join?

• Work on advanced AI and robotics engineering challenges.

• Contribute to deploying AI models on real-world embedded computing platforms.

• Collaborate with multidisciplinary teams across AI software, robotics, and hardware engineering.

• Take ownership of system architecture, performance optimization, and hardware integration.