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Google Field Solution Architect II AI Infrastructure South Google Cloud United States, Texas, Austin 110034519
29.01.2025
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Info Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Addison, TX, USA; Houston, TX, USA; Miami, FL, USA.Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 5 years of experience with cloud infrastructure (hardware shapes, sizes, auto-scaling, auto-provisioning, etc.), working with infrastructure as a service, platform as a service, or software as a service.
- Experience with distributed training and optimizing performance versus costs.
- Experience coding in Python, bash scripting, and using OSS frameworks such as TensorFlow, PyTorch, Jax, etc.
- Experience with orchestrators such as Slurm or Kubernetes.
- Experience building and operationalizing machine learning models.
Preferred qualifications:
- Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
- Experience with containerization, K8s, Kubernetes on cloud.
- Experience with running MLPerf benchmarks.
- Experience with performance profiling tools (i.e., Tensorflow profiler, PyTorch profiler, Tensorboard).
- Experience designing/architecting large-scale AI compute clusters.
- Ability to debug distributed training/inferencing code running.
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