System Engineer

Acceler8 Talent; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Competitive salary

Small, high-impact team

Work with top AI video labs

Job summary

A Series A funded start-up is seeking a Systems Engineer to design and optimize systems handling ML and ETL pipelines at scale. The ideal candidate has 3+ years of experience in building data infrastructure and strong coding skills in Go and Python. This role offers a competitive salary of up to $250k and the chance to work with top AI video labs on cutting-edge projects.

Qualifications

• 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.

Responsibilities

• Design and engineer systems that handle ML and ETL pipelines.
• Optimize distributed systems for thousands of GPUs.
• Build systems processing video data at internet scale.
• Develop internal tooling and CI/CD pipelines.
• Focus on uptime and performance optimization.

Skills

Building foundational data infrastructure

Designing and maintaining data pipelines

Developing CI/CD pipelines

Coding in Go

Coding in Python

Leading by example

Job description

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!