Real-Time Storage Systems Engineer - Exabyte-Scale

SpaceX Super Intelligence; Palo Alto (CA); In loco; USD 180.000 - 440.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Medical, vision, and dental

401(k)

Disability insurance

Life insurance

Employee discounts

Descrizione del lavoro

SpaceXSI, building a platform used by around 600 million users monthly, is seeking exceptional storage and database engineers to join a new project integrating our AI infrastructure. You will contribute to a new storage tier powering training, inference, and real-time data extraction across exabyte-scale systems.

You’ll design, build, and launch features, tackle latency and durability, mentor peers, and collaborate in a fast-paced environment as we expand our scalable, resilient distributed

Competenze

• Have at least 7 years of experience in software development and 2+ years building storage systems or databases.
• Demonstrate reliability, performance focus, and quality.
• Proficient in high performance C++, Rust, or JVM-based languages.
• Experience building, running, and operating scalable distributed systems.

Mansioni

• Design, build, and launch new features and improvements across storage systems.
• Investigate performance issues and provide latency, availability, and durability solutions.
• Lead and drive incident responses, review postmortems, and maintain a high standard.
• Mentor peers through code and design reviews in a collaborative environment.
• Be open to learning new skills as technology spaces evolve.
• Make data-driven decisions and adapt to new information.

Conoscenze

Reliability focus

Performance optimization

Mentoring

Incident response

Strumenti

C++

Rust

JVM-based languages

Distributed systems tooling

Descrizione del lavoro

SpaceXSI, building a platform used by around 600 million users monthly, is seeking exceptional storage and database engineers to join a new project integrating our AI infrastructure. You will contribute to a new storage tier powering training, inference, and real-time data extraction across exabyte-scale systems.

You’ll design, build, and launch features, tackle latency and durability, mentor peers, and collaborate in a fast-paced environment as we expand our scalable, resilient distributed