Staff Engineer: Real-Time Video & Edge ML

Coram AI; Sunnyvale (CA); On-site; 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 & unlimited tech

Job summary

Coram AI in Sunnyvale, CA is building an edge-focused platform for real-time video streaming. You will lead major components of the edge stack, ensuring fast, reliable, and intelligent processing across constrained hardware.

The role centers on C++ and Python production software, deploying ML models, and optimizing performance with GPUs. You will also build observability and work closely with infrastructure and data teams to ship impact.

Qualifications

• 3+ years of production software experience in C++ and Python.
• Strong experience in video processing and streaming (GStreamer).
• Experience building real-time data processing apps with low latency and memory footprint.
• Proficiency with profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize code.
• Experience with Docker and CI/CD pipelines.
• Experience in Edge/IoT computing is a plus.
• Ability to work onsite in a fast-paced environment.

Responsibilities

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

Skills

C++

Python

Video processing

Streaming

Latency optimization

Tools

Docker

CI/CD

GStreamer

Nsight

Valgrind

Flame graphs

Salt

Grafana

PyTorch

Job description

Coram AI in Sunnyvale, CA is building an edge-focused platform for real-time video streaming. You will lead major components of the edge stack, ensuring fast, reliable, and intelligent processing across constrained hardware.

The role centers on C++ and Python production software, deploying ML models, and optimizing performance with GPUs. You will also build observability and work closely with infrastructure and data teams to ship impact.