Software Engineer, Public Sector - New Grad

Scaleai·San Francisco, CAjunior

En corto

→Ingeniero de software que construye sistemas de IA para entornos federales de alto impacto.
→Trabajas directamente con stakeholders gubernamentales, desarrollas funciones clave desde el primer día y das soporte a decisiones críticas en tiempo real.
→Destaca el trabajo en entornos seguros, aislados (air-gapped) y con datos federales de alta sensibilidad.

Strong written and verbal communication — you will work directly with government stakehold

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Titulación en otoño de 2026 o primavera de 2027 en CS, EECS, ingeniería de computadores o estadística.
✓Experiencia en ingeniería de productos: apps full-stack, integraciones con APIs, trabajo con usuarios.
✓Internado previo en ingeniería de software o producto.
✓Historial de entregar productos de alta calidad a gran escala.
✓Experiencia construyendo sistemas que procesan grandes volúmenes de datos.
✓Conocimiento en Python, Typescript, React y/o MongoDB.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonTypescriptReactMongoDBAWSAzureGCPDockerKubernetesLLMs

¿A quién escribirle en Scaleai?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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. Example Projects • 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 Requirements • 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 Nice to Have • Hands-on experience with LLMs, evaluations, or agentic systems — whether 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 How We Work Our credos shape how we make decisions and work as a team: • Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve • Team Flow — ideas, energy, and support move freely across teams; optimize for the whole • Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage • Find the 20% — find the inputs that drive the outcomes and execute them completely

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