Software Engineer

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

Youll 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.

• Architect develop and optimize CASABOTs 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 CASABOTs 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 inferenceon-device.
  

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

• Bachelors or Masters 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.
  

• 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 worlds first AI-Home Operating System.
  

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