puestos de Cloud Architect en United States

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.

• 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.

• 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.

• 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 world’s first AI-Home Operating System.
• Competitive compensation, stock options, and growth potential within a rapidly scaling company.