Job description

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 Intern s 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. Read our Privacy Policy here: aidash.com

Requirements

Must-haves

Join us in Securing Tomorrow Together! The Role
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.
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
Currently pursuing or recently completed a BS or MS in Computer Science or a closely related field

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: greenhouse
Effort: quick