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Member of Technical Staff, Real Time Video Streaming

Join Coram AI to lead real-time video streaming components in a fast-paced, innovative team focused on enhancing security through AI.

Location
Sunnyvale, United States
Compensation
Not disclosed
Level
staff
Type
full time · On-site

Posted by employer 23 hours ago

First seen on Joblaze 6 hours ago

Last verified on the company career page 6 hours ago

What you'll build

  • Building and optimizing real-time video streaming pipelines
  • Deploying machine learning models to production
  • Optimizing the platform runtime for maximum performance
  • Building observability and telemetry

Must have

  • 3+ years of experience writing production software in C++ and Python
  • Strong experience in video processing and streaming
  • Experience building applications processing real-time data
  • Experience using various profiling tools
  • Experience with Docker, CI/CD pipelines

Nice to have

  • Experience in Edge/IoT computing
  • Experience in infrastructure management and monitoring
  • Experience interfacing ML models

Practical constraints

  • Ability to work in an onsite environment

AI in the day-to-day

Our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.

Requirements

Experience
3+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

Referral Bonuses Flexible Paid Time Off Regular team off-sites Paid Holidays Unlimited tech stack Early-stage equity Latest Apple products

Joblaze summary

In this role, the Member of Technical Staff will focus on building and optimizing real-time video streaming pipelines for edge devices, ensuring high performance and reliability. Key skills include proficiency in C++ and Python, experience with video processing using GStreamer, and familiarity with machine learning model deployment. This position is ideal for someone with at least three years of software development experience, particularly in fast-paced environments. The team emphasizes collaboration and values each member's contributions to the company's mission.

Joblaze insights

  • Listed today — first seen on Joblaze October 15, 2026. Last confirmed on Coram AI's careers page October 15, 2026.
  • Python appears in 50.7% of 274 comparable staff ai/ml roles in United States; CI/CD appears in 2.2% of 274 comparable staff ai/ml roles in United States.

Quick facts

Is the Member of Technical Staff, Real Time Video Streaming role remote?
No — this is an on-site role in Sunnyvale, United States.
How much experience is required?
At least 3 years of relevant experience for this Member of Technical Staff, Real Time Video Streaming role.
Where is the role based?
Coram AI is hiring for this position in Sunnyvale, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: C++, CI/CD, Docker, Edge/IoT computing, Grafana, Gstreamer.
What seniority level is this role?
Coram AI targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Member of Technical Staff, Real Time Video Streaming role at Coram AI.

From the original posting

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

  • 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.)

Standard company text repeated across Coram AI's postings is omitted here.