Pros
* Started as a big data infrastructure company but successfully transformed into an AI infrastructure company. Engineers get hands-on experience with cutting-edge technologies across LLM training, inference, GPU infrastructure, cloud storage, and distributed systems, while working closely with many of the industry’s leading AI companies. Opportunity to work with leading AI companies and hyperscalers on challenging real-world problems. * Strong engineering culture with many experienced distributed systems engineers. Great place to learn if you’re interested in systems, storage, or AI infrastructure. * Supportive teammates. Engineers have significant ownership and influence on product direction. * Small company with broad responsibilities and high visibility. It’s easy to make meaningful technical contributions. * Flexible work environment with free snacks, drinks, bubble tea, and regular team lunches/events.
Cons
* As a smaller company, resources are more limited than at large tech companies, and individuals are often expected to wear multiple hats. * Priorities can shift quickly as the company adapts to the fast-moving AI infrastructure market. * Career ladder and organizational structure are less formalized than at bigger companies.