Software Engineer

Casabot

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 .