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GPU Engineer
Job Summary
A company is looking for a GPU Engineer to join their innovative AI team.
Key Responsibilities
- Design and implement scalable GPU clusters on AWS infrastructure for distributed LLM training
- Optimize GPU memory usage, computational throughput, and inter-node communication for transformer model training
- Architect and deploy GPU-based inference solutions that balance latency, throughput, and cost
Required Qualifications
- 5+ years of experience optimizing GPU infrastructure for machine learning workloads
- Advanced knowledge of NVIDIA GPU architecture and CUDA programming
- Experience with AWS GPU instances and AWS Batch for ML workloads
- Bachelor's degree in Computer Science, Electrical Engineering, or related field (Master's preferred)
- AWS Certified Solutions Architect - Professional (Strongly Preferred)
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COMPLETE JOB DESCRIPTION
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