Edge AI/CV Orchestration Engineer

About the role

We are 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 and deployed hardware, ensuring efficient, reliable operation of fleets of NVIDIA Jetson devices.

Key responsibilities

• Design, develop, and optimize new features for the Python‑based orchestration engine.
• Implement robust resource allocation, task scheduling, and priority management across edge device fleets.
• Profile and fine‑tune AI/CV pipelines on Jetson platforms, addressing performance bottlenecks in the Linux environment.
• Maintain and evolve APIs and microservices that expose orchestration functionality.
• Collaborate with hardware and AI teams to integrate NVIDIA stack components such as DeepStream, TensorRT, or Triton.

Required profile

• 3‑5+ years of backend development, systems programming, or DevOps experience, preferably with distributed or embedded systems.
• Strong expertise in Python, including asynchronous programming and system‑level scripting.
• Hands‑on experience with NVIDIA Jetson platforms (Orin Nano, Xavier NX, AGX) and JetPack SDK.
• Deep knowledge of Linux system administration, shell scripting, networking, and performance tuning tools.
• 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)
• Shell scripting, networking
• API and microservice development
• Docker, containerd, K3s, MicroK8s (preferred)
• 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)