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Open nowPosted 12 days ago

Member of Technical Staff, Real Time Video Streaming

Coram AI43 open roles

Where
Sunnyvale
Work mode
On site
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Your applicationOpen nowMember of Technical Staff, Real Time Video StreamingCoram AI · Sunnyvale

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Coram AI postings stay open a median of 38 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 12 days ago

Coram AI median: 38 days open

The posting

At Coram AI, we’re reimagining video security for the modern world. Our cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster; from real-time alerts to seamless clip sharing and multi-site visibility.

You’ll be joining an ambitious, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.

The role: Coram’s platform cuts across front-end, backend, ML, and high-performance edge computing. You’ll lead major components of our edge-computing stack, with a core focus on real-time video streaming, ensuring Coram Point remains fast, reliable, and intelligent.

Responsibilities:

- Building and optimizing real-time video streaming pipelines on our edge devices, along with the applications and communication layers that process vision data on compute-constrained hardware

- Deploying machine learning models to production

- Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU

- Building observability and telemetry

Qualifications:

- 3+ years of experience writing production software in C++ and Python

- Strong experience in video processing and streaming (we use GStreamer)

- Experience building applications processing real-time data and optimizing them for latency and memory

- Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code

- Experience with Docker, CI / CD pipelines

- Experience in Edge/IoT computing (we have a fleet of deployed edge computers) is a plus

- Experience in infrastructure management and monitoring (we use Salt and Grafana) is a plus

- Experience interfacing ML models (we use PyTorch) is a plus

- Resilient in challenging and fast-paced environments

- Exceptional written and verbal communication skills in English, with the ability to influence at all levels

- Ability to work in an onsite environment - we move quicker when we’re in the same room

What we offer:

- Flexible paid time off and paid holidays

- Early-stage equity in a rapidly growing company

- Referral bonuses

- Regular team off-sites

- The latest Apple products and unlimited tech stack (Claude Cowork, Perplexity Computer, Nooks, Clay, Instantly, etc.)

We're on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations. From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.

Founded by Ashesh Jain (ex-Lyft Level 5, PhD Cornell) and Peter Ondruska (ex-Lyft, PhD Oxford), Coram AI is backed by Ansa Capital, Battery Ventures, Mosaic, 8VC and Up Partners, have raised over $65M, and were named to the CB Insights AI 100 as one of the most promising AI companies in the world. If you're excited to work on mission-critical AI that makes an impact in the real world, we’d love to meet you.

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