软件工程师 - 存储

Drive the team's goals and technical direction to pursue opportunities that improve storage performance, reliability, and efficiency at scale

Design and optimize storage systems to meet the demanding throughput and latency requirements of AI training workloads

Lead efforts to improve storage system performance for both serving and AI/ML training use cases

Partner & collaborate with organization leaders to help improve the level of performance of the team & organization

Identify new opportunities for storage innovation and influence the appropriate people for staffing/prioritizing these new ideas

Lead long term technical strategy and roadmap for storage infrastructure across the company

Suggest, collect and synthesize requirements and create an effective feature roadmap for storage systems

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term mission

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience with operating system internals, filesystems, programming language design, compilers

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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Experience leading storage infrastructure projects with industry-wide impact.

Vast experience communicating and working across functions to drive storage solutions.