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Seeking a highly skilled and experienced Data Center Engineer to design and implement mechanical and fiber connectivity systems for data centers. Responsibilities include developing mechanical systems, overseeing maintenance, managing projects, and ensuring scalability. Bachelor's degree in Mechanical Engineering and 5 years of experience in mechanical engineering, with 3 years in data center environments, required.
Responsible for physical installation, configuration, and provisioning of IT equipment in data centers. Coordinate network solutions deployment, troubleshoot connectivity issues, maintain documentation, and provide technical support for large-scale network deployments.
Looking for an experienced and versatile software engineer with expertise in Rust, C++, Go, and Python. Must have experience in designing reliable and horizontally scalable distributed systems and API design. Knowledge of TypeScript, React, Angular, gRPC, Kubernetes, JAX, CUDA, MLIR, Triton, and XLA is a plus.
Forward Deployed AI Engineers work directly with end customers owning strategy and implementation. Responsibilities include designing, implementing, and maintaining robust and scalable AI-driven solutions, working with large, complex codebases, and delivering measurable impact through AI solutions.
Leverage xAI's models and algorithms to create delightful consumer products and experiences, scale to millions of users worldwide.
Responsible for architecting, building, and designing a data collection platform, iterating on new features, building end-to-end features, monitoring data quality issues, establishing best practices, ensuring platform security and scalability, and innovating to develop AI systems.
The AI Engineer & Researcher at xAI focuses on training trillion parameter neural networks, optimizing GPU utilization, innovating inference stack, implementing state-of-the-art methods, and developing AI systems to understand the universe.
Designing and implementing evaluations for new capabilities, creating new data generation methods, experimenting with fine-tuning techniques, optimizing training data quality, innovating new ideas in AI systems.
The AI Engineer & Researcher at xAI will focus on training neural networks at scale, mastering all data modalities, implementing state-of-the-art methods, and innovating new ideas in the field of AI. Ideal candidates will have experience building distributed training systems, working with JAX/XLA, and debugging third-party source code.
AI Engineer & Researcher focused on building data processing systems, managing cloud compute clusters, and pre-processing datasets for AI training. Strong communication skills and passion for improving data and models required.
Work your passion. Live your purpose.
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