AI and Machine Learning Engineer
Spring, Texas, United States of America
USD 120K-276K Mid-level Full Time
Tasks
- Analyze server workloads and accelerated hardware performance
- Capture and review system performance data logs traces
- Communicate project status and concerns to management
- Develop software and scripts to analyze AI workload performance data
- Develop software scripts and configurations for deployment automation
- Document and report issues from testing and evaluation
- Install and configure IT infrastructure components
- Optimize systems with software and hardware partners
- Provide guidance to less experienced staff
- Provide technical summaries to non technical colleagues
- Run AI and HPC benchmarks
- Study and improve large language model performance
- Write white papers and guidance documents for AI workload selection
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | C# | C++ | CI/CD | Containers | DL and ML Workload Analysis | Deep learning | Distributed Deep Learning | File System | Generative AI | HPC benchmarks | HPL | High Performance | High-Performance Computing | High-performance networking | I/O | Infiniband | Language Models | Large Language Models | Lustre file system | Machine Learning | NCCL | NFS | NVIDIA Collective Communications Library | NVIDIA collective communications | Neural Networks | Performance Computing | Process Automation | Python | Resource Managers | Scripting | Slurm | Transformers | WeeKa I O | Workload Analysis
Education
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