Senior Systems Engineer
2 дней назад
Qualifications:
5+ years of firmware development experience in IoT or edge computing;
Bachelor's/Master's in Electrical Engineering, Computer Engineering, or related field;
Expertise in embedded systems programming (C/C++ and Python);
Strong knowledge of Linux kernel, Docker, and container orchestration;
Experience with cloud-based video streaming (AWS KVS, etc.);
Basic CUDA knowledge and AI model integration;
Familiarity with wireless communication protocols;
Strong debugging and problem-solving skills;
English level: Upper Intermediate+ and higher;
Experience developing safety-critical systems will be a plus;
Background in video surveillance, IoT security, or embedded AI will be a plus;
Proven success collaborating with hardware manufacturers will be a plus;
End-to-end firmware development for NVIDIA-based edge computing systems will be a plus.
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 maintain firmware for edge computing camera systems;
Implement firmware supporting advanced AI detection models for pool safety monitoring;
Optimize performance for real-time video processing and streaming;
Work with AI teams to integrate detection models into firmware;
Optimize computational resources and processing performance;
Develop firmware to handle variable environmental conditions (lighting, water clarity, obstructions);
Implement error handling, fault tolerance, and power management for:12V/5A camera systems AND 5V/1A sirens;
Ensure reliable Wi-Fi connectivity and signal management;
Partner with hardware manufacturers to ensure QA and rigorous testing;
Develop and maintain testing protocols for NVIDIA-based edge computing platforms;
Troubleshoot firmware-related manufacturing and performance issues;
Manage firmware release schedules, versioning, and documentation;
Coordinate releases with software and hardware teams;
Implement comprehensive testing and validation protocols;
Conduct performance testing and optimization for edge AI processing;
Implement secure video streaming and data transmission protocols;
Monitor and mitigate false positives/negatives in AI detection systems.
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.
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