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Google Field Solution Architect II AI Infrastructure Google Cloud United States, California, Sunnyvale 98856607
27.01.2025
This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Houston, TX, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Miami, FL, USA; New York, NY, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Washington D.C., DC, USA; Atlanta, GA, USA.
Minimum qualifications:
- 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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