Customer Solutions Engineer, Compute, Google Cloud
Kirkland, WA, USA · Full-time · Posted Sep 28, 2026
- Education
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
About the job
Provides specialized, 24x7 technical support to help customers deploy AI/ML workloads on Google Cloud AI infrastructure and resolves complex hardware and software issues.
What you'll do
- Diagnose customer issues, identify root causes, and develop tools to speed investigation and resolution.
- Advise customers and internal teams on complex AI infrastructure deployment and operational problems.
- Collaborate with Product, Engineering, and SRE teams to improve products, tools, processes, and production quality.
What they ask for
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- Experience reading and debugging code in a general-purpose language, and experience with virtualization and orchestration frameworks.
- Experience troubleshooting customer issues across hardware, software, networking, virtualization, kernel drivers, firmware, or performance.
- Linux/Unix system administrator-level experience and experience debugging across the hardware/software boundary on enterprise-grade server infrastructure.
Nice to have
- Experience with large-scale distributed systems and AI/ML computing hardware, including GPUs or other accelerators.
- Experience with ML frameworks and the AI/ML lifecycle; familiarity with Kubernetes or Slurm.
Pay
$102000 - $144000 (USD) base salary
Tools
Java, C, C++, Python, Shell, Go, JavaScript, Linux/Unix
AI focus
Supports customers deploying AI/ML workloads on AI infrastructure; troubleshoots AI/ML hardware and workloads, including GPUs or other accelerators.
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