Edge Real-Time Video Streaming Engineer – C++, GPU

Coram

Sunnyvale (CA)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Flexible paid time off
Early-stage equity
Referral bonuses
Team off-sites
Latest Apple products

Job summary

Coram AI is transforming video security with a cloud-native platform that blends computer vision and AI. You will lead major components of our edge‑computing stack, focusing on real-time video streaming, ensuring Coram Point remains fast, reliable and intelligent.

The role spans frontend, backend, ML, and edge computing, with opportunities to deploy models and optimize pipelines. Ideal candidates have 3+ years in production C++/Python, experience with video processing (GStreamer), Docker, and

Qualifications

  • 3+ years writing production software in C++ and Python.
  • Experience with video processing/streaming (GStreamer).
  • Experience building real-time data processing apps with latency/memory optimization.
  • Experience profiling with tools like gdb, Nsight, Valgrind, flame graphs.

Responsibilities

  • Build and optimize real-time video streaming pipelines on edge devices.
  • Deploy machine learning models to production.
  • Optimize platform runtime for maximum performance (C++ core, GPU).
  • Build observability and telemetry.

Skills

C++
Python
Video processing
Latency optimization
Docker
CI / CD
Edge/IoT
GStreamer
Profiling tools
ML models
PyTorch
English communication

Tools

GStreamer
Docker
CI/CD pipelines
Nsight
Valgrind
Salt
Grafana

Job description

Coram AI is transforming video security with a cloud-native platform that blends computer vision and AI. You will lead major components of our edge‑computing stack, focusing on real-time video streaming, ensuring Coram Point remains fast, reliable and intelligent.

The role spans frontend, backend, ML, and edge computing, with opportunities to deploy models and optimize pipelines. Ideal candidates have 3+ years in production C++/Python, experience with video processing (GStreamer), Docker, and

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