Site Reliability Engineer - Storage at xAI
Location: San Francisco Employment Type: Full-time Salary: Not specified
About the Role
About the role As a Site Reliability Storage Engineer, you will play a pivotal role in designing, building, and operating exascale storage systems to manage our cutting-edge AI research data with unparalleled scalability and reliability across multiple regions. This role's core responsibility is to make sure our heterogenous storage systems in on-prem + cloud are reliable and performant. We’re seeking engineers with expertise in exascale data management systems or distributed filesystems to join our mission-driven team. What you’ll do Develop and optimize software to manage exascale data, enabling efficient and reliable access for xAI researchers working on advanced AI models. Enhance the reliability, performance, and cost-effectiveness of xAI’s storage infrastructure to support large-scale AI research workloads. Collaborate closely with researchers to understand their data use cases and tailor storage solutions to meet their needs. Implement robust security measures to safeguard critical datasets, ensuring data integrity and confidentiality. Ideal Experience You’d be an exceptional candidate if you possess some (or all) of the following: Writing scalable, high-performance code in Rust or Go for storage-related applications or tooling. Managing storage infrastructure with IaC tools like Pulumi, Terraform, or Ansible. Past experience working with storage vendors facilitating partnership alignment, and integrating their tooling within xAI’s Infrastructure. Familiarity with Kubernetes storage primitives (e.g., Persistent Volumes, CSI drivers) and integrating storage with containerized workloads. Bonus: Experience with AI/ML data pipelines, including handling large datasets for training and inference. Tech Stack Kubernetes Pulumi Rust and Go Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 45 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in Python, Golang, or Rust Systems hands-on: Demonstrate practical skills in a live problem-solving session. Coding assessment or system design discussion based on the candidate's background. Project deep-dive: Present your past exceptional work to a small audience. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. We do not condone usage of AI in interviews and have tools to detect AI usage. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
About xAI:
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
- 🚀 Building Grok - advanced AI assistant
- 💻 Operating world-class AI supercomputing clusters
- 🎯 Small, highly motivated team focused on engineering excellence
- 🏢 Flat organizational structure with hands-on leadership
Founded by Elon Musk
Contact
Apply on Greenhouse
Apply: https://job-boards.greenhouse.io/xai/jobs/4789599007