Staff Engineer - Real-Time Edge AI & Video Streaming

Coram; Sunnyvale (CA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible paid time off

Early-stage equity

Referral bonuses

Regular team off-sites

Latest Apple products and tech gear

Job summary

Coram AI is redefining security with a cloud-native platform for real-time video and multimodal AI. You will lead edge-stack components, focusing on fast, reliable video streaming and intelligent data processing on constrained hardware.

You’ll deploy ML models to production, optimize runtime for latency, and build observability. Candidates should have strong C++/Python, GStreamer, and edge/IoT experience, plus excellent English communication.

Qualifications

• 3+ years writing production software in C++ and Python.
• Strong experience in video processing and streaming (GStreamer).
• Real-time data processing with latency and memory optimization.
• Experience with profiling tools such as gdb, Nsight, Valgrind, flame graphs.
• Docker and CI/CD pipelines experience.
• Edge/IoT computing and infrastructure monitoring knowledge.
• Familiar with ML model interfacing (PyTorch).
• Excellent written and verbal English communication.

Responsibilities

• Build and optimize real-time video streaming pipelines on edge devices.
• Deploy machine learning models to production.
• Optimize platform runtime, with C++ code and GPU components.
• Develop observability and telemetry for the system.

Skills

C++

Python

Real-time systems

Video streaming

Latency optimization

Profiling tools

Edge/IoT

English communication

Tools

GStreamer

Docker

Nsight

Valgrind

gdb

Grafana

Salt

PyTorch

Job description

Coram AI is redefining security with a cloud-native platform for real-time video and multimodal AI. You will lead edge-stack components, focusing on fast, reliable video streaming and intelligent data processing on constrained hardware.

You’ll deploy ML models to production, optimize runtime for latency, and build observability. Candidates should have strong C++/Python, GStreamer, and edge/IoT experience, plus excellent English communication.