Software Engineer, Public Sector, New Grad
Scale AI
About the Role
As a New Grad Software Engineer on the Public Sector team at Scale, you will own meaningful, mission-facing work from day one. This includes shipping features, collaborating with government stakeholders who use them, and iterating rapidly.
Key Responsibilities
- Build multi-layered guardrails for agent safety and predictability in high-stakes federal environments.
- Optimize data retrieval for agents, including RAG pipelines over large, heterogeneous federal datasets.
- Build orchestration for fleets of asynchronous agents performing long-horizon tasks.
- Develop systems to automatically alert users to deviations and anomalies in incoming data.
- Create interfaces to illustrate agent decision-making processes, enabling operator audit and trust.
- Develop data pipelines and ML infrastructure to make siloed government data sources accessible to agents.
- Build evaluation infrastructure to measure model reliability against mission requirements.
- Ship full-stack tooling for analysts to query, visualize, and explore mission data.
- Deploy and harden applications into secure, air-gapped, and cloud-native government environments.
Requirements & Tech Stack
- Graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics).
- Product engineering experience, including building full-stack web applications, integrating with APIs and services, engaging with users, and iterating on product development.
- Previous Product/Software Engineering internship experience.
- Track record of shipping high-quality products and features.
- Experience building systems that process large volumes of data.
- Experience with Python, Typescript, React, and/or MongoDB.
- Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
- Comfort with ambiguity, evolving requirements, and a willingness to learn new domains quickly.
Nice to Have
- Hands-on experience with LLMs, evaluations, or agentic systems from internships, research, or personal projects.
- Familiarity with cloud platforms (AWS, Azure, GCP), containerization (Docker), and orchestration (Kubernetes).
- Exposure to ETL, data modeling, data warehousing, or data governance.
- Prior experience with, or demonstrated interest in, national security, defense, or civil government technology.
- Open source contributions or a portfolio of shipped side projects.
Compensation
- Base salary range for this position in San Francisco: $124,000—$162,000 USD.
- Compensation packages include base salary, equity, and benefits.
- Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
- May be eligible for additional benefits such as a commuter stipend.