2026 Software Engineering Internship,… at X, The… · Mountain…

Summary: Tapestry, part of Alphabet's moonshot factory, is focused on revolutionizing the electric grid through advanced AI tools. The internship role involves supporting software engineering projects that enhance the performance and scalability of grid simulation platforms, requiring collaboration with experienced engineers to optimize system efficiency. Responsibilities: - Analyze the runtime and computational performance of core grid analysis features, such as power flow, feeder screening, and contingency analysis - Identify performance bottlenecks related to algorithms, parallel computation, or cloud service interactions - Implement targeted performance improvements and benchmark results before and after changes - Prototype and evaluate AI/ML-assisted approaches to reduce the combinatorial complexity of large-scale contingency analysis - Produce clear, data-driven performance reports that document findings, tradeoffs, and outcomes - Contribute clean, well-documented prototype code that can inform future production implementations - Collaborate cross-functionally with software engineering and AI teams to assess scalability and feasibility Required Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field - A strong foundation in software engineering fundamentals - Experience with algorithmic analysis, debugging, and performance measurement - Programming experience in Python or a similar language used in data-intensive systems - Strong written and verbal communication skills, with the ability to explain technical concepts clearly - Curiosity, persistence, and a willingness to experiment, iterate, and learn Preferred Qualifications: - Interest or experience in performance engineering, such as runtime analysis, parallel computation, or latency optimization - Familiarity with cloud-based systems (GCP preferred) - Exposure to AI or machine learning concepts through coursework or academic projects - Experience working on systems that handle large datasets or complex simulations - Interest in infrastructure, systems, or sustainability-focused technology Required Skills: Algorithmic analysis, Performance measurement, Python programming Important Skills: Cloud-based systems, AI/ML concepts Nice-to-Have Skills: Debugging, Curiosity, Persistence, Communication skills Internship Start Date: Start in 2026 Benefits: Medical, dental, and vision coverage, Competitive residency stipend and housing relocation support for the duration of the program., Direct mentorship from industry-leading research scientists and engineers., Opportunity to work on "moonshot" problems with access to Alphabet-scale compute and resources.