Back-End Engineer

RIME Platform; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading tech company in Riyadh seeks an Edge AI/CV Orchestration Engineer to enhance a backend orchestration engine for AI workloads on NVIDIA Jetson devices. Required qualifications include 3-5+ years of experience in backend development and strong proficiency in Python. Responsibilities include optimizing performance of AI pipelines, building scalable APIs, and improving deployment pipelines. This is a pivotal role where your expertise will drive innovation and efficiency in edge computing.

Qualifications

• 3-5+ years of experience in backend development or DevOps.
• Strong proficiency in Python and system-level scripting.
• Hands-on experience with NVIDIA Jetson platform.
• Deep knowledge of Linux OS and system administration.
• Solid experience in designing and maintaining APIs.

Responsibilities

• Design and optimize features for the backend orchestration engine.
• Implement resource allocation solutions for edge devices.
• Profile and optimize performance of AI pipelines.
• Build scalable backend services and APIs.
• Improve deployment pipelines for AI models.
• Troubleshoot complex system-level issues.

Skills

Backend Development

Distributed Systems

Embedded Systems

Python

Asynchronous Programming

Linux

API Development

Microservices

Tools

NVIDIA Jetson

Docker

Kubernetes

Job description

Overview

Welcome to where every role drives real change. At Rime, we don't just offer jobs, we offer the chance to shape industries and transform communities. Join professionals who wake up knowing their work matters, solving challenges that impact millions. Whether leading breakthrough initiatives or starting your journey, you'll work on projects that leave a lasting legacy. Every decision, every idea here creates ripple effects that matter. Ready to do work that matters? Explore our roles and join those making a real difference.

The Role

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).

Roles And 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.