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naukri

Software Engineer

Casabot
Dubai, UAE
Mid-Senior
6 months ago
JavaPythonC++JavaScriptAgileScrum
Free

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Overview

Software Engineer specialized in NVIDIA technology to lead the development and optimization of CASABOTu2019s next-generation Edge OS , running on NVIDIA Jetson and other embedded GPU platforms.

Youu2019ll 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 CASABOTu2019s 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 CASABOTu2019s 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

  • Bacheloru2019s or Masteru2019s 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 .

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