Software Engineer

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 .
  

Benefits

• 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.