Senior Staff Software Engineer, AI/ML, Google Cloud
Seattle, WA, USA · Senior Staff · Full-time · Posted Oct 19, 2026
- Experience
- 8 years in software development; 7 years leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure; 5 years in design and architecture, and testing/launching software products.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Leads technical strategy and software development for Google Cloud’s GPU ecosystem, integrating GPU architectures and operating reliable, scalable infrastructure for AI workloads.
What you'll do
- Execute GPU ecosystem roadmaps and integrate new GPU architectures into Google Compute Engine.
- Oversee accelerator lifecycle, performance, and stability for user applications.
- Resolve critical customer issues and design scalable, high-performance Google Cloud software.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure.
- 5 years of experience with design and architecture, and testing/launching software products.
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms; 5 years in technical leadership; 3 years in a complex, matrixed organization.
Pay
$262000 - $364000 USD (base salary)
Tools
GPU, Google Compute Engine (GCE)
AI focus
Builds and operates GPU infrastructure and accelerator solutions for AI model training and inference; includes ML infrastructure strategy and optimization.
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