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 inference on-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.
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Kanadevia Inova
Encore Global