Back-End Engineer📣 Job Ad

About the Role

RIME Platform is seeking a Back-End Engineer to contribute to its core engine. This role focuses on managing AI workloads on resource-constrained edge devices, enhancing and scaling its capabilities. The position serves as a critical link between backend infrastructure and deployed physical hardware, ensuring efficient, reliable, and scalable operation of edge devices. The company is based in Riyadh, Saudi Arabia, and this is a full-time position requiring 2-5 years of experience.

Key Responsibilities

• Design, develop, and optimize new features for the Python-based backend orchestration engine.
• Implement solutions for resource allocation (CPU, GPU, memory), task scheduling, and priority management across edge devices.
• Profile and fine-tune the performance of AI/CV pipelines on the Jetson platform, addressing bottlenecks within the Linux environment.
• Build and maintain scalable backend services and APIs, such as REST and gRPC, for remote deployment, monitoring, and updating of tasks.
• Improve automated deployment pipelines for pushing new AI models and orchestration logic to devices.
• Troubleshoot complex system-level issues involving AI models, orchestration code, and the underlying Linux OS on Jetson hardware.

Qualifications and Experience

• 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 backend services, asynchronous programming (*, asyncio), and system-level scripting.
• Hands-on experience with the NVIDIA Jetson platform (*, Orin Nano, Xavier NX, AGX), including familiarity with the JetPack SDK and its tools.
• Solid command of the Linux operating system, including system administration, process management, shell scripting, networking, and performance tuning (*, using tools like top, htop, perf).
• Experience in designing, building, and maintaining APIs and microservices.

Technical Skills

• Backend Development
• Systems Programming
• DevOps
• Distributed Systems
• Embedded Systems
• Python (including asyncio)
• System-level Scripting
• NVIDIA Jetson Platform (JetPack SDK)
• Linux System Administration
• Process Management
• Shell Scripting
• Networking
• Performance Tuning (top, htop, perf)
• Backend Systems Design
• API Development
• Microservices Architecture
• Containerization (Docker, containerd)
• Edge-focused Kubernetes (K3s, MicroK8s)
• NVIDIA Stack (DeepStream, TensorRT, Triton Inference Server)
• Computer Vision (CV) Concepts
• Machine Learning (ML) Deployment Concepts
• C++
• Go
• IoT Fleet Management Tools (AWS IoT Greengrass, Azure IoT Edge, Balena)
• Resource Allocation
• Task Scheduling
• Priority Management
• AI/CV Pipeline Optimization
• RESTful APIs
• gRPC
• Remote Deployment
• System Monitoring
• Automated Deployment Pipelines
• Continuous Integration/Continuous Deployment (CI/CD)
• Troubleshooting Complex Systems

Work Environment and Location

This is a full-time position based in Riyadh, Saudi Arabia. The role involves working with a core engine that manages AI workloads on edge devices, requiring close interaction between backend systems and physical hardware.