Staff Software Engineer, Google Kubernetes Engine AI Training

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experiences with AI frameworks (e.g., Tensorflow, PyTorch, JAX), algorithms and tools (e.g., Kubeflow, Ray.io, MLflow).

Nice to Haves

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
• MLOps experience with large-scale distributed environments.

What You'll Be Doing

• Provide technical leadership on high-impact projects.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Drive the technical vision and roadmap for Kubernetes evolution to meet the needs of the world's most demanding GenAI models training.
• Inspire, mentor and support a talented team of engineers, fostering a culture of growth, knowledge sharing, and respect for individual strengths.

Perks and Benefits

• N/A