Senior AI Infrastructure Engineer with HPC and DevOps Expertise
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Job Description
Drive innovation in AI infrastructure as a Senior Engineer. Leverage your Linux and HPC expertise in a hybrid work environment to enhance performance across advanced research computing systems.
This position invites experts in systems engineering to contribute to a leading AI infrastructure team. You will focus on building and scaling high-performance Linux environments, optimizing storage technologies, and implementing solutions that foster collaboration among developers and researchers. Your contributions will have a lasting impact on AI project outcomes.
Key Responsibilities:
- Develop large-scale Linux-based AI research computing environments
- Address complexities in distributed systems for performance enhancement
- Optimize storage solutions like Ceph and GPFS for high efficiency
- Collaborate with tech teams to improve system reliability
- Innovate new compute and storage design architectures
Requirements
- Solid Linux/HPC engineering experience with a DevOps approach
- Expertise in resource management systems like Kubernetes
- Background in high-performance storage technologies
- Proficient in Python and scripting languages
- Enthusiasm for technology trends and challenges
Join a dynamic team and contribute to transformative AI projects that shape the future.
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