Software Engineer NVIDIA systems & Edge OS

CASABOT

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 ResponsibilitiesArchitect, 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.RequirementsBachelor 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 SkillsExperience 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.BenefitsWork 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.