Software Engineer

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