Software Development Engineer II, AWS SageMaker AI
Tasks
- Build extend SDK workflow orchestration and contract layer
- Collaborate with ML scientists to deliver self service platform capabilities
- Create technical designs and perform engineering best practices
- Design build test and operate orchestration services for foundation model workflows
- Improve resiliency and operability for long running distributed jobs
- Integrate compute backends and job launchers for large scale training jobs
- Integrate containerized training and evaluation frameworks into platform
- Own components end to end from design implementation to deployment monitoring and on call operations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Batch | AWS CDK | AWS CloudFormation | AWS SageMaker | AWS Step Functions | AWS Trainium | Amazon EKS | Apache Airflow | C# | C++ | Checkpointing | DeepSpeed | Distributed Systems | EMR | FSDP | Fault Tolerance | HyperPod | Infrastructure as Code | Java | Kubernetes | Logging | Megatron-LM | Metrics | NVIDIA Nemo | Object-Oriented | Object-oriented design | Observability | Orchestration | Perl | PyTorch | Ray | Reliability Engineering | Scalability | Service Oriented | Service-Oriented Architecture | Slurm | Step Functions | VeRL | “as-code”
Education
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