Roadmap: Understanding GPU Architecture from Cornell cvw.cac.cornell.edu/gpu-arch…

Daylight Savings time has officially begun, moving clocks forward by one hour. This means more sunlight in the evening.

44 yo Roger Federer just beat 27 yo Casper Ruud in a tiebreak during their practice 👀 Reminder that Federer retired in 2022 and Ruud is currently ranked No. 12 in the world

📌 Hiring: Data Engineer (Intern / Full-Time) Role Overview We are looking for a Data Engineer to build, organize, and scale data systems handling large volumes of historical and real-time data. The role involves designing efficient pipelines, optimizing storage and access patterns, and building reliable systems for both batch and live data ingestion. This is a hands-on engineering role with ownership of how data is collected, stored, processed, and accessed at scale. The work will closely align with data and research needs associated with @SixteenAlphaAI, a Category III Alternative Investment Fund (AIF). What You Will Work On:- ->Designing and optimizing data storage systems, including database schemas, table structures, and file-based storage ->Building and maintaining ETL pipelines for large historical datasets ->Creating live data ingestion and scraping pipelines for real-time data feeds (APIs, WebSockets) ->Optimizing data access, fetch performance, and storage efficiency for analytics and ML workflows ->Ensuring reliability, fault tolerance, and consistency across pipelines and data sources Required Skills & Background:- ->Strong programming fundamentals (Python preferred) ->Solid understanding of databases, table design, indexing, and query optimization ->Experience with ETL pipelines, data pipeline design, and large datasets ->Understanding of file systems, file access patterns, and storage optimization ->Experience working with multiple APIs, including handling rate limits and failures ->Working knowledge of operating systems and networking fundamentals ->Familiarity with cloud services and data infrastructure concepts Good to Have:- ->Experience with SQL databases (MySQL, PostgreSQL) ->Exposure to real-time, streaming, or time-series data ->Experience with data scraping or live feeds ->Understanding of data requirements for ML or quantitative systems How to Apply:- Please apply via Google forms attached below: Google Forms - forms.gle/deADAcBuPrvcNcnu7