Candidates with backend engineering experience and interest in geospatial data will find this role impactful. The hybrid work arrangement and focus on production-ready contributions suggest a preference for proactive, self-driven individuals.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from AiDASH, Inc. via Greenhouse
About AiDASH
AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com.
The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow Together!
The Role
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:
Build
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
Engineer well
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
Be curious, seek feedback early, and act on it
Partner with engineers across teams to understand how your work fits the bigger platform
Present your work to the engineering team at the end of the internship
What success looks like by the end of your internship:
Your project is shipped to production, or production-ready and documented
Your code has passed review and is running in real customer workflows
You can clearly explain the design choices and trade-offs behind your work
Your mentor and team see you as someone they want back full-time
What we're looking for:
Minimum Qualifications
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 Qualifications
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.
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