Back-End Engineer

Overview

The Role

Edge Ai And Cv Orchestration Engineer

Nvidia Jetson Orin Nano

Required Qualifications (Must-Haves)

• **Proven Experience:**
• 3-5+ years of experience in backend development, systems programming, or DevOps, with a focus on distributed or embedded systems.
• **Expert Python:**
• Strong proficiency in Python, especially for building backend services, asynchronous programming (e.g., asyncio), and system-level scripting.
• **NVIDIA Jetson Expertise:**
• Demonstrable, hands-on experience working with the NVIDIA Jetson platform (e.g., Orin Nano, Xavier NX, AGX).
• You should be comfortable with the JetPack SDK and its tools.
• **Deep Linux Knowledge:**
• Strong command of the Linux operating system.
• You must understand system administration, process management, shell scripting, networking, and performance tuning (e.g., using top, htop, perf).
• **Backend Systems:**
• Solid experience designing, building, and maintaining APIs and microservices.

⭐ Preferred Qualifications (Nice-to-Haves)

• **Containerization:**
• Experience with Docker, containerd, and/or edge-focused Kubernetes (K3s, MicroK8s).
• **NVIDIA Stack:**
• Direct experience with the NVIDIA stack is a major plus, especially

Nvidia Deepstream

• , TensorRT, or Triton Inference Server.
• **AI/CV Exposure:**
• A good understanding of the challenges in deploying computer vision or machine learning models.
• **Other Languages:**
• Experience with C++ or Go for performance-critical components.
• **Fleet Management:**
• Experience with IoT fleet management tools (e.g., AWS IoT Greengrass, Azure IoT Edge, or Balena).

Key Responsibilities

• **Engine Enhancement:**
• Design, develop, and optimize new features for our Python-based backend orchestration engine.
• **System Management:**
• Implement robust solutions for resource allocation (CPU, GPU, memory), task scheduling, and priority management across a fleet of edge devices.
• **Performance Optimization:**
• Profile and fine-tune the performance of AI/CV pipelines on the Jetson platform, diving deep into the Linux environment to resolve bottlenecks.
• **Backend & API Development:**
• Build and maintain scalable backend services and APIs (e.g., REST, gRPC) that allow for remote deployment, monitoring, and updating of tasks.
• **Deployment & CI/CD:**
• Improve automated deployment pipelines for pushing new AI models and orchestration logic to devices in the field.
• **Troubleshooting:**
• Act as the key troubleshooter for complex system-level issues that span AI models, our orchestration code, and the underlying Linux OS on the Jetson hardware.