Principal Engineer, AI Ecosystem
Sunnyvale, CA, USA +2 · Principal · Full-time · Posted Oct 30, 2026
- Location
- Sunnyvale, CA, USA
Kirkland, WA, USA
Seattle, WA, USA - Experience
- 15 years in software engineering; 10 years in distributed systems, ML/AI infrastructure, deep learning frameworks, or large-scale compute orchestration.
- Education
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
About the job
Leads technical direction and execution to evolve GKE and related open-source infrastructure for large-scale accelerated and agentic AI workloads.
What you'll do
- Enable Python-focused ML engineers to scale from local iteration to 1,000,000+ accelerators without needing infrastructure expertise.
- Represent AI/ML end-user needs and guide GKE’s architectural direction for AI workloads.
- Architect and lead development of industry standards and infrastructure, including through technical contributions and mentoring.
What they ask for
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
- 15 years of software engineering experience focused on technical innovation, large-scale systems operations, or engineering leadership.
- 10 years of experience with distributed systems, ML/AI infrastructure, deep learning frameworks, or large-scale compute orchestration.
Nice to have
- Master’s degree or PhD in Computer Science, Artificial Intelligence, High-Performance Computing, or a related field.
- Expertise in HPC, distributed workload schedulers, and managing large-scale LLM training and inference workloads.
Pay
$307000 - $427000 USD base salary
Tools
GKE, Kubernetes, Ray, Slurm, KubeFlow, PyTorch, NumPy, CUDA
AI focus
Shapes infrastructure and technical standards for AI/ML workloads, including accelerated and agentic workloads and large-scale LLM training and inference.
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