Software Engineer

CASABOT Holdings Limited; Dubai; On-site; AED 257,069 - 367,242; Full time

Benefits offered by this job

Competitive compensation

Stock options

Growth potential

Job summary

A forward-thinking technology company in Dubai seeks a Software Engineer specialized in NVIDIA technology to lead the development of the Edge OS. Candidates should have experience with embedded systems and expertise in NVIDIA Jetson platforms. This hands-on role will focus on AI, local intelligence, and performance optimization within home automation technologies. Competitive compensation and growth opportunities are offered.

Qualifications

• 2-5 years experience in embedded software or Linux based OS development.
• Proven hands-on expertise with NVIDIA Jetson, CUDA, TensorRT, and DeepStream SDK.
• Solid understanding of Linux kernel internals, Yocto, or Buildroot for OS builds.

Responsibilities

• Architect, develop, and optimize CASABOT’s Edge OS stack for NVIDIA Jetson platforms.
• Design and implement GPU-accelerated modules for real-time inference.
• Integrate CUDA, TensorRT, and DeepStream SDK components.

Skills

NVIDIA Jetson

CUDA

TensorRT

DeepStream SDK

C/C++

Python

Bash

Debugging tools (Nsight Systems, perf, valgrind)

Education

Bachelor’s or Master’s in Computer Science, Electrical Engineering

Tools

Docker

Buildroot

Yocto

Job description

Dubai, United Arab Emirates | Posted on 10/20/2025

• City Dubai
• Country United Arab Emirates

About Us

CASABOT™ is the AI-powered home automation platform that transforms any space into an intelligent, intuitive environment. Seamlessly connecting devices across brands, CASABOT eliminates complexity and guesswork—no apps, no commands, just effortless automation. Whether for homes, hotels, or commercial spaces, CASABOT delivers luxury-level technology with unmatched simplicity, real-time support, and smart energy management—designed to enhance daily living and future-proof properties.

Job Description

We’re seeking a Software Engineer specialized in NVIDIA technology to lead the development and optimization of CASABOT’s next-generation Edge OS , running on NVIDIA Jetson and other embedded GPU platforms.

You’ll work at the intersection of AI, embedded systems, and operating system design , ensuring BOTty™ delivers ultra-low latency, privacy-first intelligence without relying on the cloud.

This is a hands-on systems engineering role at the crossroads of AI inference, OS design, and embedded GPU computing.

Key Responsibilities

Architect, develop, and optimize CASABOT’s Edge OS stack for NVIDIA Jetson Orin, Xavier, and Nano platforms.

Design and implement GPU-accelerated modules for real-time inference, local NLU, and computer vision pipelines.

Integrate CUDA , TensorRT , and DeepStream SDK components into CASABOT’s OS environment.

Build custom Linux kernel configurations , drivers , and device tree overlays for edge performance optimization.

Work closely with AI, DevOps, and hardware teams to streamline deployment across BOTty™ gateway models (CB-Lite, CB-100, CB-Ultra II).

Implement OTA update systems , containerized edge apps , and secure boot pipelines on NVIDIA SoC architectures.

Conduct profiling, benchmarking, and tuning for latency, power efficiency, and reliability .

Collaborate with AI engineers to deploy optimized models (ONNX/TF/LLM-quantized) for real-time inference on-device.

Contribute to system-level design, ensuring compliance, reproducibility, and maintainability of the OS stack.

Requirements

Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.

2-5 years experience in embedded software or Linux based OS development.

Proven hands-on expertise with NVIDIA Jetson , CUDA , TensorRT , and DeepStream SDK .

Solid understanding of Linux kernel internals , Yocto , or Buildroot for OS builds.

Experience with C/C++ , Python , and Bash .

Familiarity with edge AI workflows (model quantization, pruning, and deployment).

Knowledge of containerization (Docker, Podman) and OTA update frameworks for embedded devices.

Strong debugging and profiling skills (Nsight Systems, perf, valgrind, etc.).

Passion for performance optimization and edge computing architectures.

Preferred Skills

Experience with ROS/ROS2 , ZeroMQ , or gRPC for distributed edge communications.

Familiarity with hardware accelerators , multi-camera streaming , or AR/VR pipelines .

Contributions to open-source OS or driver projects (Yocto, JetPack, etc.).

Prior work in AI-powered home automation, robotics, or IoT ecosystems .

Work on the frontier of AI at the Edge and autonomous living environments .

Join a global team combining expertise from Apple, Cisco, KPMG, and Accenture .

Opportunity to shape the core technology behind the world’s first AI-Home Operating System .

Competitive compensation, stock options, and growth potential within a rapidly scaling company.