Back-End Engineer – Edge AI/CV Orchestration

About the role

Rime is looking for an experienced Edge AI/CV Orchestration Engineer to enhance and scale the core engine that manages AI workloads on resource‑constrained edge devices. You will bridge backend infrastructure with physical hardware, ensuring efficient, reliable, and scalable operation of devices such as the NVIDIA Jetson Orin Nano.

Key responsibilities

• Design, develop, and optimize new features for the Python‑based backend orchestration engine.
• Implement robust resource allocation, task scheduling, and priority management across a fleet of edge devices.
• Profile and fine‑tune AI/CV pipelines on Jetson platforms, addressing performance bottlenecks in the Linux environment.
• Maintain and evolve APIs and microservices that support the orchestration layer.

Required profile

• 3‑5+ years of experience in backend development, systems programming, or DevOps with a focus on distributed or embedded systems.
• Strong proficiency in Python, including asynchronous programming and system‑level scripting.
• Hands‑on experience with NVIDIA Jetson platforms (Orin Nano, Xavier NX, AGX) and the JetPack SDK.
• Deep knowledge of Linux system administration, shell scripting, networking, and performance tuning.
• Proven ability to design, build, and maintain APIs and microservices.

Required skills

• Python
• NVIDIA Jetson (Orin Nano, Xavier NX, AGX)
• JetPack SDK
• Linux system administration and performance tools (top, htop, perf)
• API and microservice development
• Docker and container runtimes
• Edge‑focused Kubernetes (K3s, MicroK8s)
• NVIDIA DeepStream, TensorRT, Triton Inference Server (preferred)
• C++ or Go for performance‑critical components (preferred)
• IoT fleet management tools such as AWS IoT Greengrass, Azure IoT Edge, Balena (preferred)