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Staff Software Engineer, Google Cloud Compute, Performance

Google
Seattle, USA
Senior · 8+ years experience
Onsite
USD 207000-300000 / year
Discovered 1 weeks ago

Full Job Posting

Responsibilities

  • Partner with Product Management and cross-functional engineering teams to define the roadmap for GCE’s next-generation VM offerings, translating high-level business goals into concrete technical execution plans.
  • Design, architect, and develop scalable technical solutions that optimize VM performance, push the boundaries of hardware efficiency, and maximize infrastructure utilization.
  • Lead complex, multi-functional initiatives across hardware, kernel, virtualization, and product teams to drive critical GCE performance initiatives from conception to production.
  • Act as a trusted technical advisor to GCE’s most critical, high-profile customers. Analyze, benchmark, and optimize their massive-scale workloads to ensure performance exceeds expectations and unlocks business value.
  • Shape the technical culture of the broader organization by mentoring junior and senior engineers, conducting design reviews, and establishing engineering best practices for performance analysis.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • Experience with CPU/memory architectures (e.g., x86, ARM) and modern server hardware performance characteristics.
  • Experience as an architect or technical lead for multi-year infrastructure initiatives from conception to global deployment.
  • Experience in one or more of the following domains: OS kernels, hypervisors/virtualization stacks (e.g., KVM, Xen), high-performance networking drivers, storage stacks.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • Experience collaborating directly with principal engineers at strategic enterprise client organizations to root-cause and resolve complex, large-scale system performance bottlenecks.
  • Understanding of hardware/software boundaries, including performance profiling tools, microarchitectural optimization, and hardware acceleration techniques.
  • Ability to navigate ambiguity and drive technical alignment across distinct organizational boundaries, including Product Management, Hardware Engineering, and foundational Software teams.

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