Aidashinc Software Engineering Intern at AiDASH focused on backend development of satellite and AI-powered products. Responsible for scoped backend projects shipping to production.
Responsibilities
Our satellite and AI-powered products are changing how utilities see and protect the grid, and we're gearing up for aggressive customer growth over the next two years. We're hiring two Backend Software Engineering Interns in Palo Alto to help build the backend systems behind that growth.
This is a real engineering internship, not a sandbox project. You'll own scoped backend work that ships to production, with day-to-day mentorship from a senior engineer who will review your code, pair with you on design, and help you grow fast. Strong performers will be considered for a full-time return offer.
Our pending acquisition by Schneider Electric will accelerate our mission as we bring our combined offering to our joint customer base, and the work you do will reach customers at an even greater scale.
Location: This is a hybrid internship based in Palo Alto, CA, requiring [X] days per week in the office.
How you'll make an impact:
Design, build, and test backend services and APIs in Java or Python
Own a scoped project end to end, from design doc to production
Work with data pipelines that process satellite, sensor, and operational data at scale
Write clean, tested, well-documented code and take part in code reviews
Use AI coding tools thoughtfully to move faster without cutting corners on quality
Debug issues across services and learn how production systems behave under real load
Learn and contribute
Qualification
Strong Computer Science fundamentalsYou learn quicklyExposure to REST APIsExperience with GitInterest in geospatial dataOpen-source contributionsRead our Privacy Policy here
Required
Currently pursuing or recently completed a BS or MS in Computer Science or a closely related field
At least one serious project or prior internship you can go deep on: the problem, your design choices, the trade-offs, and what you'd change
Solid programming skills in Java or Python, and curiosity about other languages
Strong Computer Science fundamentals, including data structures, algorithms, and object-oriented design
You learn quickly, ask good questions, and use AI tools well
Preferred
Exposure to REST APIs, SQL or NoSQL databases, or cloud platforms (AWS preferred)
Experience with Git, unit testing, and CI workflows
Interest in geospatial data, climate, energy, or infrastructure
Open-source contributions, hackathon projects, or a public GitHub you're proud of
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.
