About vacancy:

This startup is providing constant monitoring 24/7 with a second set of eyes on the pool. It includes detection and alerts for toddlers, people and pets in and around pool areas.

Qualifications:

5+ years of firmware development experience in IoT or edge computing;

Bachelor’s/Master’s degree in Electrical or Computer Engineering (or related field);

Strong proficiency in C/C++, Python, and Embedded Linux (kernel, Docker, orchestration);

Experience with AI/ML model integration, CUDA basics, and cloud video streaming (AWS KVS);

Knowledge of wireless protocols, GStreamer, and NVIDIA Jetson platforms;

Excellent debugging, problem-solving, and communication skills (English — Upper Intermediate+).

Technical Skills:

Embedded firmware development (NVIDIA Jetson, real-time operating systems);

GStreamer and NVIDIA Argus camera libraries;

Power management & network programming;

AI/ML model integration in firmware;

Video streaming & debugging tools;

Cross-platform firmware development & manufacturer collaboration.

Responsibilities:

Design, develop, and optimize firmware for NVIDIA-based edge camera systems;

Integrate and validate AI detection models for real-time video analytics and pool safety;

Ensure performance, fault tolerance, power management, and Wi-Fi stability;

Collaborate with AI, hardware, and QA teams to ensure seamless integration and testing;

Implement secure data transmission, versioning, and release management;

Conduct testing, validation, and optimization for reliable edge AI performance.obstructions);

We offer:

Career and professional development opportunities;

Flexible working hours;

Remote work opportunities;

20 paid vacations per business year and National Ukrainian holidays;

10 paid sick leaves;

Mentorship program;

Courses and Certifications;

Business English courses of all levels;

Team parties, company events, and branded presents.

Anastasiia Sysyn