Computer Vision Engineer

Embedded Vision Engineer (Linux / Computer Vision)

Location: Latvia

Our Aerospace client based in Latvia looking for an Embedded Vision Engineer to own and optimize camera systems on their platforms from sensor integration to real-time video processing and computer vision on the edge.

What you will be doing:

You’ll work at the intersection of embedded Linux, imaging systems, and computer vision, developing camera pipelines that operate reliably in real-world conditions.

This is a systems-focused role where you’ll work across hardware and software layers to ensure high-performance, low-latency video and vision capabilities onboard their drones.

Key Responsibilities

• Develop and optimize embedded Linux camera pipelines (capture, ISP, encoding, streaming)
• Integrate and bring up camera sensors on embedded platforms (e.g. MIPI CSI, driver configuration)
• Implement and optimize computer vision algorithms on edge devices (e.g. detection, tracking)
• Debug issues across hardware, drivers, and application layers
• Optimize real-time video performance (latency, bandwidth, reliability)
• Work with imaging SoCs (e.g. Novatek Microelectronics or similar) to tune system performance
• Collaborate with hardware, RF, and systems teams on end-to-end integration

Requirements

• Strong experience with embedded Linux development
• Solid programming skills in C/C++
• Experience working with camera systems / imaging pipelines
• Hands-on experience with computer vision
• Understanding of hardware interfaces (e.g. MIPI CSI, I2C, SPI)
• Systems mindset understanding how components interact in real-world deployments
• Experience with Novatek or similar imaging/video SoCs is a big bonus
• Background in drones, robotics, automotive (ADAS), or surveillance systems

Offer:

• Competitive salary (€6000-€10,000 per month)
• Work on cutting-edge drone systems used in real-world missions
• Solve complex, multidisciplinary engineering challenges
• High ownership and impact on deployed technology
• Fast-moving, engineering-driven environment