Systems Engineer

GW136
  • $150,000-$250,000
  • San Francisco, CA
  • Permanent

About the job

Systems Engineer - Video Intelligence Infrastructure - San Francisco




About the Company




A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence 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!

Kirstie Moffat ML Research & Engineering Recruiter

Apply for this role