Back-End Engineer

Rime; Riyad Al Khabra; On-site; SAR 200,000 - 300,000; Full time

Job summary

A technology company in Saudi Arabia is seeking an experienced Edge AI / CV Orchestration Engineer to improve its orchestration engine managing AI workloads on edge devices. The ideal candidate should have 3-5 years in backend development, strong Python skills, and expertise with NVIDIA Jetson platforms. Responsibilities include system optimization, API development, and troubleshooting. This role offers a great opportunity to work on cutting-edge AI technologies.

Qualifications

• 3-5+ years in backend development, systems programming, or DevOps.
• Strong proficiency in Python for backend services and asynchronous programming.
• Hands-on experience with NVIDIA Jetson platform and JetPack SDK.
• Deep knowledge of Linux including system administration and performance tuning.
• Experience designing and maintaining APIs and microservices.

Responsibilities

• Design and optimize features for the Python-based orchestration engine.
• Implement solutions for resource allocation and task scheduling.
• Profile and enhance performance of AI/CV pipelines on the Jetson platform.
• Build and maintain scalable backend services and APIs.
• Improve automated deployment pipelines for AI models.
• Troubleshoot complex system-level issues.

Skills

Backend development

Python programming

NVIDIA Jetson expertise

Linux knowledge

API design

Tools

Docker

Kubernetes

Job description

Description

We are seeking an experienced Edge AI / CV Orchestration Engineer to enhance and scale our core engine that manages AI workloads on resource-constrained edge devices.

Your primary mission is to improve the "brain" of our system : the orchestration engine that decides which AI tasks run, when they run, and how they perform on hardware like the NVIDIA Jetson Orin Nano . You will be the bridge between our backend infrastructure and our deployed physical hardware, ensuring our edge devices operate efficiently, reliably, and at scale.

Requirements

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.