Computer Vision Engineer

Client of RemoteOne; Riyadh; On-site; SAR 112,485 - 168,728; Full time

Job summary

Client of RemoteOne is seeking a Computer Vision Engineer to join their team in Riyadh, Saudi Arabia. You will work on LiDAR-based perception systems, taking vision and sensing systems from prototype to production while closely collaborating with hardware and firmware teams.

The ideal candidate will have 3-5 years of experience in computer vision, strong Python skills, and experience with real-time processing pipelines. This role involves designing and deploying computer vision pipelines as well as debugging field issues.

Qualifications

• 3-5 years of experience in computer vision or applied ML engineering.
• Strong Python skills; comfortable with OpenCV and standard CV/ML libraries.
• Experience with real-time or near-real-time processing pipelines.

Responsibilities

• Design, build and deploy computer vision pipelines for real-time detection, tracking or 3D reconstruction.
• Integrate vision systems with hardware firmware teams to bring solutions from prototype to production.
• Build and maintain inference services (e.g. containerized APIs with clean CI/CD practices).

Skills

Computer Vision

Python

OpenCV

Real-time Processing

Linux Systems

Model Deployment

Job description

We re looking for a Computer Vision Engineer to join a growing team building LiDAR‑based perception systems real‑world 3D sensing solutions that power physical products not just demos. This is a hands‑on role you ll take vision and sensing systems from prototype to production working closely with hardware and firmware teams to get sensors calibration and algorithms working together reliably in the field.

What You ll Do

• Design, build and deploy computer vision pipelines for real‑time detection, tracking or 3D reconstruction.
• Work with camera and/or depth sensor data (RGB depth cameras, LiDAR), calibration, synchronization and data quality.
• Optimize models and pipelines for edge deployment (latency, memory, compute constraints).
• Integrate vision systems with hardware firmware teams to bring solutions from prototype to production.
• Build and maintain inference services (e.g. containerized APIs with clean CI/CD practices).
• Debug field issues across the stack from sensor hardware quirks to model performance.
• Document system architecture and processes clearly for cross‑functional teams.

Must‑haves

• 3 5 years of experience in computer vision or applied ML engineering.
• Strong Python skills; comfortable with OpenCV and standard CV/ML libraries.
• Experience with real‑time or near-real-time processing pipelines.
• Solid Linux systems knowledge; comfortable working outside a pure notebook/dev environment.
• Experience deploying models to production (Docker, APIs, cloud or edge).
• Strong problem‑solving instincts when things break in the real world, not just in code.