Senior Systems Engineer: ML Pipelines & GPU-Scale Infra

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

Benefits offered by this job

Competitive salary up to $250k

Opportunity to work with top AI video labs

Small, high-impact team with significant growth trajectory

Job summary

A Series A Funded start-up in California is seeking a Systems Engineer to design and optimize systems handling complex ML pipelines. The role involves building scalable infrastructure, developing CI/CD pipelines, and ensuring system performance. Key qualifications include strong skills in Go and Python, along with experience in data infrastructure. This position offers a competitive salary up to $250k with a small, high-impact team environment.

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.

Responsibilities

• 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 and reliably.
• Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration.
• Focus on system uptime and performance optimization.

Skills

Experience designing and maintaining pipelines that process petabytes of data

Excellent coding skills in Go

Excellent coding skills in Python

Strong background developing CI/CD pipelines for ML-focused teams

3+ years building foundational data infrastructure

Job description

A Series A Funded start-up in California is seeking a Systems Engineer to design and optimize systems handling complex ML pipelines. The role involves building scalable infrastructure, developing CI/CD pipelines, and ensuring system performance. Key qualifications include strong skills in Go and Python, along with experience in data infrastructure. This position offers a competitive salary up to $250k with a small, high-impact team environment.