System Engineer
Acceler8 Talent, San Francisco, CA, United States
This range is provided by Acceler8 Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$150,000.00/yr - $250,000.00/yr
Apply now for immediate consideration!
About the Company
A Series A funded start-up building next-generation AI infrastructure for video intelligence. They are looking for a Systems Engineer to join their team.
What You'll Be Doing:
Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines
Optimize hyper-fast distributed systems running at the scale of thousands of GPUs
Build systems that process video data quickly, reliably, and cost-effectively at internet scale
Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration
Focus on system uptime and performance optimization for mission-critical infrastructure
What We're Looking For:
3+ years building foundational data infrastructure
Experience designing and maintaining pipelines that process petabytes of data
Strong background developing CI/CD pipelines for ML-focused teams
Excellent coding skills in Go and Python
Independent contributor who leads by example
What's In It For You
Competitive salary up to $250k
Small, high-impact team with significant growth trajectory
Opportunity to work with top AI video labs and collect world-class datasets
Apply now for immediate consideration!
#J-18808-Ljbffr
Base pay range
$150,000.00/yr - $250,000.00/yr
Apply now for immediate consideration!
About the Company
A Series A funded start-up building next-generation AI infrastructure for video intelligence. They are looking for a Systems Engineer to join their team.
What You'll Be Doing:
Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines
Optimize hyper-fast distributed systems running at the scale of thousands of GPUs
Build systems that process video data quickly, reliably, and cost-effectively at internet scale
Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration
Focus on system uptime and performance optimization for mission-critical infrastructure
What We're Looking For:
3+ years building foundational data infrastructure
Experience designing and maintaining pipelines that process petabytes of data
Strong background developing CI/CD pipelines for ML-focused teams
Excellent coding skills in Go and Python
Independent contributor who leads by example
What's In It For You
Competitive salary up to $250k
Small, high-impact team with significant growth trajectory
Opportunity to work with top AI video labs and collect world-class datasets
Apply now for immediate consideration!
#J-18808-Ljbffr