Senior Staff Engineer, Cloud Infrastructure & Kernel Systems

Google

Sunnyvale (CA)

On-site

USD 262,000 - 365,000

Full time

14 days+

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Job summary

Google Sunnyvale, CA is seeking a Senior Staff Software Engineer for Borglet to lead high-impact, low-level system development within Google's infrastructure. The role focuses on kernel interactions, distributed systems, and scalable cluster management within Google Cloud and ML workflows.

You will mentor engineers, shape technical direction, and collaborate across product teams. The successful candidate will own outcomes, drive architecture decisions, and operate in a fast-paced environment

Qualifications

  • 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 working with industry ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • Experience with security operating systems, distributed systems, Kernel, operating systems, network virtualization, and virtual machines.

Responsibilities

  • Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
  • Lead a team of engineers focussed on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware; collaborating with partner teams as well as users across Google (e.g., cluster management team, ML teams, hardware platform teams, SRE teams, Google Cloud).

Skills

Distributed systems
Kernel
Security OS
Virtual machines
Leadership

Education

Bachelor’s degree or equivalent practical experience

Tools

Linux
GPU Drivers

Job description

Google Sunnyvale, CA is seeking a Senior Staff Software Engineer for Borglet to lead high-impact, low-level system development within Google's infrastructure. The role focuses on kernel interactions, distributed systems, and scalable cluster management within Google Cloud and ML workflows.

You will mentor engineers, shape technical direction, and collaborate across product teams. The successful candidate will own outcomes, drive architecture decisions, and operate in a fast-paced environment

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