Member of Technical Staff, Real Time Video Streaming
Core
Lead major components of the edge-computing stack, focusing on real-time video streaming pipelines and deploying machine learning models on compute-constrained hardware.
Role type
Senior IC machine-learning engineer (video streaming & edge computing)
Builds
Real-time video streaming pipelines, edge applications, and ML model deployments for video security
Domain
Computer vision, real-time video streaming, edge computing, AI
Deliverable
production ML models
Required skills
C++, Python, video processing, real-time data optimization, profiling tools, Docker, CI/CD
Preferred skills
Edge/IoT computing, infrastructure management, ML model interfacing
Technologies
GStreamer, PyTorch, C++, Python, Docker, Salt, Grafana, gdb, Nsight, Valgrind
Responsibilities
Building and optimizing real-time video streaming pipelines on edge devices; Deploying machine learning models to production; Optimizing platform runtime for maximum performance; Building observability and telemetry
Seniority
Senior, hands-on IC
