Systems Engineer

GW39
  • $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