Software Engineering Intern (Winter/Spring)

Reposted 2 Months Ago
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Seattle, WA, USA
In-Office
Internship
Aerospace • Artificial Intelligence • Cloud • Machine Learning
The Role
Research-focused ML intern to design and run forecasting and anomaly/risk prediction experiments, develop time-series and probabilistic models, improve feature engineering and dataset quality, build reproducible research workflows, and communicate technical findings.
Summary Generated by Built In
The Role

We are looking for a Software Engineering Intern to work on the ConstellationOS platform. You will own a real project, from design to deployed code, in areas like backend services, simulation, machine learning, or developer tools. Two terms are open: a winter internship starting in November 2026 and a spring internship starting in spring 2027.

Responsibilities
  • Build and ship a scoped feature or tool on the platform.

  • Write tested, reviewed code and document it.

  • Help with data pipelines or simulation environments.

  • Present your work to the team at the end of the term.

Requirements
  • Currently pursuing a B.S. or M.S. in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, Go, C++, or similar.

  • Coursework or projects in systems, networking, or machine learning is a plus.

  • Able to work on-site in Seattle for the full term (winter: starts November 2026; spring: starts spring 2027).

  • U.S. person required (ITAR).

Skills Required

  • Currently enrolled in an MS or PhD program (CS, EE, Aerospace, Applied Math, or related)
  • U.S. person (citizen, green card holder, or asylee/refugee) due to ITAR-controlled data access
  • Strong low-level engineering skills and comfort with scientific/ML tooling (C++, Python, Rust)
  • Ability to own projects end-to-end: scoping, implementation, testing, and communication
  • Clear written and verbal communication and strong collaboration habits
  • Experience with APIs, cloud infrastructure, or data-intensive systems
  • Familiarity with model evaluation, experiment tracking, and reproducibility
  • Background in networking, geospatial systems, telecom, or space-tech
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The Company
8 Employees
Year Founded: 2025

What We Do

Constellation Space builds ConstellationOS, an AI-native operating system that forecasts satellite link degradation minutes ahead and autonomously reroutes traffic under policy to prevent data loss. The platform ingests telemetry, uses physics-informed ML to predict failures with high accuracy, and executes rapid, policy-bound reroutes to provide mission assurance and scalable orchestration for large satellite constellations.

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