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Job Description
xAI is seeking a Software Engineer to contribute to the development of software infrastructure that empowers AI models to effectively utilize tools and address real-world challenges. The engineer will collaborate closely with research teams, directly supporting advancements in reinforcement learning, agentic AI, and model evaluation.
The role involves developing infrastructure for reinforcement learning training environments, including building and maintaining high-performance secured sandboxed execution environments. It also includes enhancing observability and optimizing resource utilization and performance for distributed computing infrastructure. The engineer will collaborate with research teams to build scalable, production-grade systems for AI experimentation.
xAI requires candidates to be located in the Bay Area or open to relocation.
Responsibilities:
- Develop infrastructure for reinforcement learning training environments
- Enhance observability and optimize resource utilization
- Collaborate with research teams to build scalable systems
Requirements:
- Experience with high-performance sandboxed code execution environments
- Experience with Kubernetes, containerization/virtualization, distributed systems, high-performance computing
- Proficiency with Python, async/concurrent programming, Rust
- Care deeply about code quality, performance, testing
- Comfortable working closely with researchers
xAI offers:
- Opportunity to work on cutting-edge AI infrastructure
- Collaboration with research teams
xAI
xAI is an artificial intelligence company focused on building AI systems that deeply understand the universe and assist humanity in its quest for knowledge. It operates with a flat organizational structure that values engineering excellence, curiosity, and strong communication. xAI fosters a collaborative environment where every team member contributes directly to the company’s objectives, with a focus on continuous improvement.
All Jobs at xAI (129)