# Software Engineer, Data Infrastructure

**Company**: Scale AI
**Location**: New York, NY
**Experience**: senior
**Job type**: full-time
**Salary**: $186,400-$233,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q112629176

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4708221005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_340cd33b-74a

## Description

Scale AI seeks a highly skilled and motivated Software Engineer to join the Federal Engineering team. As part of this team, you will play a critical role in supporting government customers by scoping and developing onsite solutions.

## The Role

We are looking for an exceptional engineer to architect and build the foundational data infrastructure serving as the brain of a project ecosystem. You will design highly novel data models and processing pipelines capable of handling massive quantities of output data from complex simulations.

## Key Responsibilities

- Architect the Data Ensemble: Design and implement the architecture to ensemble various sources of injected context into a unified, highly queryable format optimized for LLM consumption.

- Massive Batch Infrastructure: Build highly scalable, resilient data architectures from scratch, optimizing for moving, transforming, and processing massive quantities of simulation output data via enormous batch jobs.

- Complex Data Modeling: Design sophisticated, highly relational data models that accurately represent massive, state-based simulation environments.

- First-Principles Problem Solving: Navigate highly ambiguous product requirements to design custom, ground-up systems.

- Technical Leadership: Set the technical standard for the data infrastructure team, driving rigorous code quality, system performance, and architectural clarity.

## What We’re Looking For

- Experience: 5+ years of backend or data infrastructure experience, operating at a Senior, Staff, or Principal level.

- Engineering Excellence: Deep, expert-level proficiency in systems languages and a fundamental understanding of memory management, compute limits, and distributed systems architecture.

- High-Throughput / Low-Latency Data: Proven track record of processing massive datasets.

- Information Retrieval & Context Surfacing: Expertise in surfacing the right information to feed decision-making engines.

## Nice to Have

- Security Clearance: An active Secret or TS/SCI clearance.

- Experience with LLM context optimization, vector embeddings, or agentic AI frameworks.

- Deep domain experience working with wargaming data, complex systems modeling, or distributed simulation protocols.

- Previous experience in a high-growth, 0-to-1 startup environment.

The base salary range for this full-time position in New York is: $186,400-$233,000 USD. You'll also receive benefits including comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

## Skills

### Required
- systems languages
- memory management
- compute limits
- distributed systems architecture
- high-throughput data
- low-latency data
- information retrieval
- context surfacing

### Nice to have
- LLM context optimization
- vector embeddings
- agentic AI frameworks
- wargaming data
- complex systems modeling
- distributed simulation protocols
- security clearance

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4708221005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)