Embedded Software Engineer - TPE - Deep Sentinel｜Meet.jobs

We are seeking awesomely experienced (preferably 5+ years) Senior Embedded Software Engineers to join our small team in building a truly next-generation home security system utilizing all the killer bells and whistles: deep learning, on-edge embedded AI system, hybrid-cloud, big
data, etc. We are a tight-knit, fast-paced, high energy start-up team. Our ideal candidate has a passion for code, a love for a fail-fast (and work freaking hard) engineering environment, and a hunger to learn and grow. We prefer raw-intelligence over syntax-excellence, ownership over silos. And coffee over water.

Core Development:

Developing/Maintaining a robust and high-performance on-edge embedded AI system

Work as a team:

Collaborating with backend, mobile developers, hardware engineers, data scientists, and CUSTOMERS (yes, you got it right) to

polish the existing awesomeness and build new features to build new features

Code quality:

Helping us measure, maintaining and improve our code quality

條件要求:

• 5+ years of experience in Embedded Software Development, or you have a significant open-source contribution in related fields (better)
• BS/MS in Computer Science, Computer Engineering or EE, or you don’t think you need those degrees at all (maybe even better)
• Familiar with at least one of the following programming languages: Python, C/C++.
• A good team worker and have excellent communication skill.
• Familiar with network architecture and protocol (e.g.: TCP, UDP, HTTP, WebSocket)
• Knowledge of video encoding techniques (optional)
• Knowledge of multimedia streaming protocols (e.g.: RTP, RTSP, WebRTC) (optional)
• The Start-Up mentality

【Our stack】

GStreamer with python python + react + react native + data + deep learning + RTP + H264 + RTCP + WebRTC

It’s an also bonus point if you are comfortable with C/C++ and python extension, you have a remarkable computer vision background,

or you love to read h264, RTP, RTSP, WebRTC, specs, or Wireshark dumps before you go to bed every single day.