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Infrastructure Software Engineer, Enterprise GenAI

Scale AISan Francisco, CA; New York, NYApplications Platform Engineering
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Salary
Not listed
Job type
Full-time
Posted
24 Feb 2026
Status
Open · checked 7d ago

About this role

Role Overview

Scale AI is seeking an Infrastructure Software Engineer to join the Applications Platform Engineering team in San Francisco, CA or New York, NY. This position focuses on building and scaling core infrastructure for the Scale Generative AI Platform (SGP) in a dynamic, fast-paced setting.

Key Responsibilities

Design multi-cloud systems and abstractions enabling the SGP platform to operate across existing cloud infrastructure providers.
Build custom integrations connecting the Scale AI platform with customer data environments, including internal APIs, data warehouses, and cloud platforms.
Partner directly with customers, platform teams, and product teams to create innovative infrastructure that scales with evolving needs.
Run high-velocity experiments maintaining high quality standards to engage clients.
Manage the complete product lifecycle, moving initiatives smoothly from initial concept to production.
Adapt quickly, multi-task, and rapidly master new technologies.

Requirements

Possess four or more years of full-time engineering experience obtained post-graduation.
Background in scaling products within fast-growing startup environments.
Familiarity with productizing or experimenting with Large Language Models, vector databases, and modern AI tools.
Working knowledge of SQL alongside proficiency in Python, JavaScript, or TypeScript.
Practical experience utilizing Kubernetes.
Hands-on experience working with leading cloud providers such as AWS, Azure, and GCP.
Strong communication abilities to articulate complex technical details to both technical and non-technical stakeholders.

Skills and Tools

Python
JavaScript
TypeScript
SQL
Kubernetes
AWS
GCP
Azure

Salary and Benefits

Base salary range of $179,400 to $224,250 USD for eligible candidates based in San Francisco, New York, and Seattle.
Equity-based compensation subject to Board of Director approval.
Comprehensive medical, dental, and vision health coverage.
Retirement benefits and generous paid time off (PTO).
Learning and development stipend along with potential commuter benefits.

About the Company

Scale AI focuses on building reliable artificial intelligence systems designed for critical real-world decisions. The company delivers high-quality data and comprehensive technology solutions utilized by global leaders across finance, healthcare, telecom, retail, and government sectors. Dedicated to fostering an inclusive and equal opportunity workplace, Scale AI welcomes diverse perspectives and provides support for qualified applicants.

How to Apply

Interested candidates should visit the official company careers page to submit an application for this position.

Skills and tech stack

Questions candidates ask

What experience is required for this role?

Candidates need 4+ years of full-time engineering experience obtained post-graduation, along with experience scaling products at high-growth startups.

What technical skills are needed?

The role requires proficiency in Python or JavaScript/TypeScript, SQL, Kubernetes, and experience with major cloud providers like AWS, GCP, and Azure.

Where is the position located?

This position is based in San Francisco, CA or New York, NY.

What compensation and benefits are offered?

Eligible roles include a base salary ranging from $179,400 to $224,250 USD in specific locations, equity-based compensation, comprehensive health coverage, retirement benefits, PTO, and learning stipends.

Is there a waiting period for reapplication?

Yes, Scale AI enforces a 90-day waiting period before reconsidering candidates for the same role.

Ready to apply?

The application is on the official Scale AI careers page.

Apply on company site