Principal AI and ML Infra Software Engineer, GPU Clusters
US, CA, Santa Clara, United States
USD 272K-431K Senior-level Full Time
Tasks
- Collaborate with AI and ML research teams to define infrastructure requirements
- Define and measure AI researcher efficiency metrics
- Develop AI and ML infrastructure ecosystem with cross functional teams
- Identify researcher efficiency bottlenecks and improve workflows
- Integrate new AI and ML frameworks and strategies
- Optimize infrastructure performance for high availability scalability and resource utilization
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon EFA | Azure | Bash | BeeGFS | Containerization | DDP | Data Processing | Distributed Training | Docker | Enroot | FSDP | GCP | GPFS | GPU | Go | HPC | High Performance | High-Performance Computing | Inference | Infiniband | JAX | Kubernetes | Lustre | Model Training | NEMO | Performance Computing | PyTorch | Python | RoCE | Slurm | Storage
Education
Roles
AI | AI and ML Infrastructure Software Engineer | AI and Machine Learning Infrastructure Engineer | Engineer | Infrastructure Engineer | Infrastructure Software Engineer | ML Infrastructure Software Engineer | Machine Learning Infrastructure Engineer | Principal | Principal AI and ML Infrastructure Software Engineer | Software Engineer
Regions
Countries
States
Cities
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