Senior Deep Learning Systems Engineer, Datacenters
US, CA, Santa Clara, United States
USD 184K-356K Senior-level Full Time
Tasks
- Analyze performance and power consumption of deep learning applications
- Analyze system and software characteristics of deep learning applications
- Build profiling and analysis tools for deep learning workloads
- Develop software infrastructure to characterize deep learning workloads
- Evolve datacenter architectures for large language models
- Measure key performance metrics and estimate efficiency improvements
Perks/Benefits
Skills/Tech-stack
C# | C++ | CPU architecture | CUDA | Compilers | Computer system | Computer system architecture | Consumption analysis | Datacenter Workload Management | Docker | GPU Architecture | GPU Kernels | Linux | Memory Architecture | Network Architecture | Operating Systems | Performance Analysis | Performance Modeling | Performance Profiling | Power consumption | Power consumption analysis | PyTorch | Python | Silicon performance | Silicon performance modeling | Slurm | System Architecture | TensorFlow | Workload management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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