--- title: 'Software Engineering Intern, Backend at AiDASH, Inc.' canonical: 'https://feeny.ai/job/software-engineering-intern-backend-aidash-inc-palo-alto-rn7dmf5zf14z' type: 'job' last_seen: '2026-10-18' --- # Software Engineering Intern, Backend at AiDASH, Inc. - **Company:** AiDASH, Inc. - **Location:** Palo Alto, CA - **Posted:** 2026-10-16 - **Last confirmed live:** 2026-10-18 - **Apply:** https://job-boards.greenhouse.io/aidashinc/jobs/4436057009 ## 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.](https://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](https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/topics/north-america-technology-fast-500.html?utm_source=bngaiwebsite&utm_medium=referral&utm_campaign=evolve-banner)™ 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. Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/ ## About AiDASH, Inc. ## Company Overview - **One-liner**: AiDASH is an enterprise AI company providing a satellite-first platform to help core industries like electric utilities manage geographically distributed assets for resilience, reliability, and sustainability. - **Entity Type**: Private (Series C) - **Headquarters**: Palo Alto, California, United States (also listed as San Jose, California) - **Founded**: 2019 - **Founders**: Abhishek Singh (Co-Founder & CEO), Rahul Saxena (Co-Founder, Chief Product & Technology Officer), Nitin Das (Co-Founder & Chief AI Officer) ## Core Business - **Primary industry/industries**: Climate Technology, Enterprise AI, Utility Vegetation Management, Critical Infrastructure - **Target customers**: B2B, primarily electric utilities, gas utilities, transportation (pipelines, railways), mining, energy, and water/wastewater industries. Customers are large enterprises with geographically distributed assets. - **Mission or purpose statement**: "To create a greener, cleaner, safer planet from space." The company aims to revolutionize operations, maintenance, and sustainability for core industries using satellites and AI. ## Products & Services - **Intelligent Vegetation Management System (IVMS™)**: AI-powered, SatelliteFirst approach for utilities to plan, prioritize, and execute vegetation management. Fuses satellite imagery, ground truth, and historical data to identify vegetation threats, optimize trim cycles, and improve grid reliability. - **Climate Risk Intelligence System (CRIS™)**: Assesses and mitigates risks from storms, wildfires, and climate change on distributed assets. - **Integrity and Encroachment Management System (IEMS™)**: Monitors infrastructure integrity and manages encroachment risks for pipelines, transmission lines, and rights-of-way. - **Biodiversity Net Gain Management System (BNGAI™)**: Helps companies manage biodiversity and carbon programs, ensuring compliance and sustainability reporting. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding of **$101.5M**; Latest Annual Revenue estimated at **$16.4M** [linkedin.com]. - **Notable Investors/Partners**: Lightrock (lead investor in Series C), Benhamou Global Ventures, National Grid Partners, Shell Ventures, SE Ventures, G2 Venture Partners. - **Growth Signals**: - **Deloitte Technology Fast 500**: Ranked No. 12 among San Francisco Bay Area companies and No. 59 overall in 2024. - **TIME America's Top GreenTech Companies 2025**: Ranked 5th in the "Data & Analytics" category and 151st overall (two years running). - **Forbes America's Best Startup Employers 2025**: Ranked 47th among tech companies and 215th overall. - **Customer Base**: Over 185 companies globally, including more than 140 utilities. - **Headcount**: 339 employees, with significant growth in India (65% of workforce) and expansion into the UK, Canada, and Australia. ## Competitive Advantages - **SatelliteFirst Platform**: A unique approach that uses satellite imagery and AI for continuous, near-real-time remote monitoring of assets, replacing legacy, costly, and manual inspection methods. - **Proprietary VegetationAI™ Technology**: Deep domain-specific AI models trained for vegetation risk intelligence, a critical need for utilities facing wildfire and storm risks. - **Full-Stack Vertical SaaS**: Provides a complete solution from data ingestion and analytics to workflow automation and field tools, deeply integrated into utility operations. - **Strong Regulatory Tailwind**: Helps utilities meet stringent compliance requirements from regulators regarding vegetation management, wildfire risk, and biodiversity reporting. - **Patented Technology**: Has filed 17 patents related to machine learning, electric power blackouts, and regulatory compliance. ## Strategic Focus - **Expand into New Industries**: Beyond electric utilities, actively targeting gas utilities, transportation (pipelines, railways), mining, and water/wastewater. - **Deepen AI Capabilities**: Continuing to invest in AI models for climate risk, storm prediction, wildfire mitigation, and biodiversity monitoring. - **Geographic Expansion**: Growing presence in the UK, Canada, Australia, and India to serve a global customer base. - **Product Integration**: Enhancing platform integration with existing utility grid software stacks (e.g., via the appointment of a Field CTO for utilities). ## Why Work Here - **Mission-Driven**: Employees are motivated by the company's vision to "create a greener, cleaner, safer planet from space" and work on solving critical climate and infrastructure challenges. - **High Growth & Recognition**: Consistently recognized by Deloitte, TIME, and Forbes as a fast-growing, top employer, indicating strong momentum and a positive work environment. - **Award-Winning Culture**: Named one of Forbes' America's Best Startup Employers for two consecutive years (2024, 2025). - **Comprehensive Benefits**: Offers top-of-industry compensation, ESOPs (Employee Stock Ownership Plans), and "world-class rewards." - **Global & Diverse Team**: Offices in Palo Alto (HQ), with major engineering and operations hubs in India and the UK. The team is split across Research (26%), Technical (25%), and other functions. - **Career Development**: Open roles across Engineering, Data Science, Product Management, Customer Success, and Sales, with a strong focus on AI and climate tech. ## Sources 1. [aidash.com](https://www.aidash.com/) 2. [aidash.com/about](https://www.aidash.com/about) 3. [aidash.com/careers](https://www.aidash.com/careers/) 4. [cbinsights.com](https://www.cbinsights.com/company/aidash) 5. [linkedin.com](https://www.linkedin.com/company/aidash) ## Other roles at AiDASH, Inc. - [Head of Engineering, AI Platform](https://feeny.ai/job/head-of-engineering-ai-platform-aidash-inc-palo-alto-5esnz02ntdyx) — Palo Alto, CA - [Lead Ecologist](https://feeny.ai/job/lead-ecologist-aidash-inc-gurugram-haryana-n64e773r3jr0) — Gurugram Haryana, India - [SDET 3 - Model Evaluation](https://feeny.ai/job/sdet-3-model-evaluation-aidash-inc-bengaluru-qekw8waqewyw) — Bengaluru, India / Gurugram Haryana, India - [Manager, AI Data Strategy](https://feeny.ai/job/manager-ai-data-strategy-aidash-inc-bengaluru-v1fmt88v0a78) — Bengaluru, India / Gurugram Haryana, India - [Staff Engineer - Backend](https://feeny.ai/job/staff-engineer-backend-aidash-inc-palo-alto-j0k67are6d2d) — Palo Alto, CA - [Staff MLOps Engineer](https://feeny.ai/job/staff-mlops-engineer-aidash-inc-palo-alto-pekrq7qxr1hd) — Palo Alto, CA - [SDET 2 - Platform](https://feeny.ai/job/sdet-2-platform-aidash-inc-gurugram-haryana-rchm67vhk790) — Gurugram Haryana, India - [Manager - People & Culture](https://feeny.ai/job/manager-people-culture-aidash-inc-bengaluru-74rkj9yrt4t0) — Bengaluru, India - [Technical Support Engineer – Night Shift (Rotational)](https://feeny.ai/job/technical-support-engineer-night-shift-rotational-aidash-inc-gurugram-haryana-8dqpm8dmg7ct) — Gurugram Haryana, India - [Senior Manager, Professional Services](https://feeny.ai/job/senior-manager-professional-services-aidash-inc-palo-alto-wb7x7ethcy3h) — Palo Alto, CA