Software Engineer, Public Sector - New Grad
About the role
Public Sector engineers build the core product including the systems required to ingest and process federal datasets that support real-time decision-making in contested environments. As a New Grad Software Engineer on this team, you will own meaningful, mission-facing work from day one: shipping features, sitting with the government stakeholders who use them, and iterating fast.
Responsibilities
- Build multi-layered guardrails that keep agents safe and predictable 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 running long-horizon tasks
- Develop systems that automatically alert users to deviations and anomalies in incoming data
- Create interfaces that illustrate how an agent reached a decision, so operators can audit and trust its output
- Develop data pipelines and ML infrastructure that make previously siloed government data sources accessible to agents
- Build evaluation infrastructure that measures model reliability against mission requirements
- Ship full-stack tooling that lets analysts query, visualize, and explore mission data
- Deploy and harden applications into secure, air-gapped, and cloud-native government environments
Qualifications
- A 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 such as building web apps full-stack, integrating with relevant APIs and services, talking to users, figuring out 'what' to build and then iterating
- Previous Product/Software Engineering internship experience
- Track record of shipping high-quality products and features at scale
- Experience building systems that process large volumes of data
- Experience with Python, Typescript, React, and/or MongoDB
- Strong written and verbal communication — you will work directly with government stakeholders and must be able to explain technical concepts to non-technical audiences
- Comfort with ambiguity and evolving requirements, and a willingness to learn new domains quickly
Skills
Benefits
- comprehensive health, dental and vision coverage
- retirement benefits
- a learning and development stipend
- generous PTO
- commuter stipend (may be eligible)

About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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