Startups · AI

Software Engineer, Public Sector - New Grad

Scale · San Francisco, CA · On-site

← All jobs
About Scale

Backed by Accel, Index and Y Combinator.

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.

What they're looking for

  • 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
More about this role

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.

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.

  • 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...

Read the full posting on Scale's site ↗

University

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.