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 inferenceon -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.