Senior Android Computer Vision Engineer OnDevice Inference

Hawk-Eye Innovations (HEI); Chorley; Hybrid; GBP 51,000 - 76,000; Full time

Benefits offered by this job

Annual Leave

Hybrid work (2 days in office)

Sony Group Discounts

SZÉP Card

Private Medical Insurance

Life & Accident Insurance

Dental discounts

Employee Assistance Program

Job summary

Hawk-Eye Innovations in Budapest, Hungary is seeking a Senior Android Computer Vision Engineer to advance on-device vision capabilities for sports tracking. You will own on-device inference, optimize models and work closely with mobile, backend and ML engineers to shape edge AI solutions.

The role emphasizes C++ on Android, NDK and JNI, with hybrid work arrangements and opportunities to influence product direction and performance across devices.

Qualifications

• 4+ years of applied computer vision or ML engineering experience.
• Experience running inference on Android or embedded devices.
• Degree in CS/Engineering/Math or equivalent practical experience.

Responsibilities

• Own on-device inference: design and implement Android inference solutions.
• Build the native Android vision layer with C++ and JNI.
• Optimize models for mobile: pruning, quantisation, profiling.
• Address real-world camera challenges near the capture pipeline.
• Collaborate with CV/ML teams to improve model performance.
• Write production-quality, maintainable code and drive technical decisions.

Skills

Computer vision

Machine learning

Android NDK

JNI

Kotlin

Python

C++

Git

Jira

Inference on mobile

Education

Bachelor's degree in CS/Engineering/Math or related

Tools

Android NDK

JNI

Kotlin

Git

Jira

Job description

Hawk-Eye Innovations in Budapest, Hungary is seeking a Senior Android Computer Vision Engineer to advance on-device vision capabilities for sports tracking. You will own on-device inference, optimize models and work closely with mobile, backend and ML engineers to shape edge AI solutions.

The role emphasizes C++ on Android, NDK and JNI, with hybrid work arrangements and opportunities to influence product direction and performance across devices.