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Staff AI Training Infrastructure Engineer
Lead the development of distributed GPU training infrastructure for large AI models. Improve reliability, efficiency, fault tolerance, and production training operations at scale.
विवरण
- Build and scale distributed training infrastructure for large AI models across extensive GPU clusters
- Design systems that improve training reliability, efficiency, and resource utilization
- Develop fault-tolerant solutions for checkpointing, recovery, and large-scale training operations
- Integrate AI models into production training pipelines alongside platform, orchestration, and performance engineering teams
- Investigate and resolve issues affecting training throughput, stability, reliability, and cost efficiency
- Create tools and automation that enhance the experience of AI researchers and engineers
- Define best practices for training infrastructure, operations, and platform reliability
- Help shape the AI infrastructure platform as an early member of the engineering team
आवश्यकताएँ
- Practical experience building and operating distributed training systems or large-scale machine learning infrastructure
- Experience supporting large AI models, foundation models, post-training workflows, or comparable machine learning systems
- Strong understanding of reliability, scalability, and efficiency challenges in multi-node GPU training
- Experience connecting training systems to production machine learning pipelines
- Advanced programming ability and experience working with complex distributed systems
- Demonstrated ability to independently lead technically demanding projects
- Experience with distributed training frameworks such as PyTorch Distributed, DeepSpeed, Megatron-LM, Ray, or comparable technologies
- Experience with supervised fine-tuning, reinforcement learning from human feedback, or other post-training methods
- Experience operating AI training infrastructure at scale for a hyperscaler, AI research organization, cloud provider, or GPU cloud
- Background optimizing GPU utilization, training performance, or distributed system reliability
- Familiarity with Kubernetes, containerized AI workloads, and large-scale infrastructure platforms
- U.S. work authorization is required
- Visa sponsorship is not currently available
लाभ
- Some roles offer merit increases, annual bonuses, and long-term incentives based on individual performance
- Medical, dental, and vision insurance for U.S.-based employees
- 401(k) plan with company matching
- Paid holidays each calendar year
- Hybrid work arrangement
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