Our AI systems require efficient data handling at scale. We are seeking an individual
passionate about optimizing software, hardware, and data transfer to support our AI
initiatives across the country.
The IT storage team manages petabytes of on-premises, clustered POSIX storage for AI
modeling and is developing the next-generation storage solutions. This includes building
a geo-distributed file system/data lake to support autonomous robotaxis operations
nationally and globally. Our initial focus is on a high-performance caching system
significantly outperforming AWS S3.
Responsibilities
● Be a lead engineer in Rust programming and systems programming to help accelerate
the development of the caching and data lake.
● Optimize software and hardware interactions to achieve minimal latency, efficient
resource utilization, and maximum performance, with a focus on both scaling up and
scaling out systems.
● Translate complex architectural designs into implementable solutions and effectively
communicate them to fellow programmers.
● Analyze IO bottlenecks in the system and resolve bugs around cache handling and race
conditions.
Qualifications
● 2+ years of experience developing non-web applications with Rust.
● 8+ years of experience with system-level programming languages such as C, C++, or
Java.
● Strong understanding of Linux storage subsystems, networking stack, and low-level
network protocols (TCP, etc.).
● Proficiency in modern software development practices including Git, CI/CD, code review,
automated testing, and cross-team collaboration in large projects.
● Excellent problem-solving skills with the ability to analyze requirements and propose
technical solutions, document technical designs and decisions, and debug complex system-level issues.
Bonus Qualifications
● Contributed code to the Linux kernel or similar Open Source Project.
● Programmed for embedded systems or ARM64.
● Database, S3, POSIX, file system programming experience.
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