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AiDash

AI-first satellite ops and maintenance SaaS

Software Engineer Intern - Backend

Backend EngineeringConfirmed live in the last 24 hours
InternshipPalo Alto, CA, USANo salary listed

About the Job

Requirements

  • Currently pursuing or recently completed a Bachelor of Science or Master of Science in Computer Science or a closely related field.
  • Have at least one substantial project or prior internship and be able to explain the problem, design choices, trade-offs, and what could be changed.
  • Have solid programming skills in Java or Python and curiosity about other languages.
  • Have strong computer science fundamentals, including data structures, algorithms, and object-oriented design.
  • Learn quickly, ask good questions, and use artificial intelligence tools effectively.

Responsibilities

  • Design, build, and test backend services and application programming interfaces in Java or Python.
  • Own a scoped project end to end, from design document through production.
  • Work with data pipelines that process satellite, sensor, and operational data at scale.
  • Write clean, tested, and well-documented code and participate in code reviews.
  • Use artificial intelligence coding tools thoughtfully to work efficiently while maintaining quality.
  • Debug issues across services and learn how production systems behave under real load.
  • Seek feedback early and act on it.
  • Partner with engineers across teams to understand how the work fits the broader platform.
  • Present work to the engineering team at the end of the internship.

Desired Qualifications

  • Exposure to Representational State Transfer application programming interfaces, SQL or NoSQL databases, or cloud platforms; AWS is preferred.
  • Experience with Git, unit testing, and continuous integration workflows.
  • Interest in geospatial data, climate, energy, or infrastructure.
  • Open-source contributions, hackathon projects, or a public GitHub profile.

About the Company

AiDash

AI-first satellite ops and maintenance SaaS

AiDash provides an AI-first, satellite-powered SaaS for managing and protecting geographically distributed infrastructure, licensing its platform to utilities and other asset-heavy industries to improve operations, safety, and sustainability. It combines high-resolution satellite imagery with proprietary AI models to monitor and predict conditions across a client’s network, with modules such as IVMS for vegetation near power lines, ISMS for biodiversity and carbon goals, CRIS for climate risk, and DDMS for disaster forecasting; in 2024 it launched a Full Stack Platform for Grid Inspection and Monitoring to give a single view of an entire utility network. It differentiates itself by offering integrated satellite analytics across multiple functions with measurable outcomes and ROI within the first year. Its goal is to strengthen climate resilience and grid reliability while reducing costs and advancing sustainability, and to grow internationally through expanded product reach.

Company size
201-500
Company stage
Acquired
Total funding
$101.5M
Headquarters
Palo Alto, CA
Founded
2019

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