AI Infrastructure Architect
3 days ago
We are seeking a highly skilled AI Infrastructure Architect to join our team at xAI. Located in the Bay Area, this role involves designing and developing cutting-edge AI infrastructure that enables our researchers to push the boundaries of what is possible.
About the RoleThe successful candidate will be responsible for building high-performance and scalable software frameworks to support large-scale machine learning tasks, particularly in reinforcement learning and agent systems. This includes developing efficient training and evaluation frameworks, as well as software frameworks for large-scale agent simulation and execution.
Ideal Skills and Qualifications- Expertise in developing software for large-scale distributed machine learning systems (e.g. language modeling training and reinforcement learning)
- Proficiency in GPUs, Kubernetes, and JAX (or PyTorch)
- Experience with standard software engineering best practices (CI/CD) and a focus on code quality, testing, and performance
This role offers an attractive annual salary range of $180,000 - $440,000 USD, making it an exciting opportunity for experienced professionals looking to take their career to the next level.
Interview ProcessThe interview process consists of four technical interviews, including a coding assessment, two post-training infra technical sessions, and a meet the team presentation. Our goal is to complete the main process within one week, and all interviews will be conducted via Google Meet.
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