Software Engineer, xAI

• All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates

Desirable

• Ensure the reliability of inference services, targeting 100% uptime and a 0% error rate
• Develop custom debugging tools to trace, replay, and fix all errors or crashes across the entire stack, from cluster orchestration to GPU kernels
• Manage the autoscaling, continuous deployment, and feature rollout of inference services
• Benchmark and monitor the performance of inference engines under various production workloads
• Build CI/CD infrastructure for endpoint deployment, image publishing, and inference engines

• 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 15-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 a language of your choice
• Systems hands-on: Demonstrate practical skills in a live problem-solving session
• Project deep-dive: Present your past exceptional work to a small audience
• Meet and greet with the wider team
• Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet