2 days ago
Base Salary
$102k - $144k/yr
Responsibilities
- Diagnose, resolve, and manage customer issues involving AI/ML infrastructure, including creating investigation tools to improve support productivity.
- Troubleshoot and reproduce customer-reported issues, determine root causes, and develop expertise in AI/ML workloads and underlying hardware architectures.
- Act as a technical consultant and subject matter expert for customers and internal Engineering, Sales, and other stakeholder teams.
- Partner with Product, Engineering, and Site Reliability Engineering teams to improve products and production quality.
- Update documentation and work non-standard shifts, potentially including weekends, as part of 24x7 customer support.
Requirements
- Bachelor's degree in Science, Technology, Engineering, or Mathematics, or equivalent practical experience.
- Experience reading and debugging code in a general-purpose programming language and working with virtualization and orchestration frameworks.
- Experience troubleshooting customer issues and triaging technical problems across hardware, software, networking, virtualization, kernel drivers, firmware, and performance layers.
- System administrator-level experience with Linux/Unix and debugging across the hardware/software boundary on enterprise-grade server infrastructure.
- Preferred experience with large-scale distributed systems, AI/ML computing hardware such as GPUs or other accelerators, ML frameworks, and AI/ML training and inference.
- Preferred experience with containerization and orchestration technologies such as Kubernetes or Slurm in on-premises or cloud environments.
Benefits
- US base salary of $102000 - $144000, plus a 15% bonus target, equity, and benefits.
- Global 24x7 support environment requiring shift patterns or non-standard work hours, potentially including weekends.
Tech Stack
Categories
Solutions Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.