Avatar for Google
Google
Actively Hiring
Search Engine
  • B2C
  • B2B
  • Public Stage
    Publicly traded company
  • +1

Staff Software Engineer, Google Cloud Compute, Performance

  • $207k – $300k
  • |
  • |8 years of exp
  • |Full Time
Posted: 1 month ago
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
C++
Distributed Systems
Networks
X86
Hardware Architecture
Storage
KVM
ARM
Xen
Hypervisors
Large-Scale Infrastructure
Compute Technologies
OS Kernels
CPU/memory Architectures
High-Performance Networking Drivers
Storage Stacks
Virtualization Stacks
Modern Server Hardware Performance Characteristics

About the job

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

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.

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

As a Staff Software Engineer on the Google Cloud Compute (GCE) Performance team, you will provide technical leadership and drive the architectural direction for Google Cloud’s foundational Virtual Machine (VM) offerings.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

  • 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

About the company

Google company logo

Google

Actively Hiring
More jobs
Search Engine5000+ Employees
  • B2C
  • B2B
  • Public Stage
    Publicly traded company
  • Top Investors
    This company has received a significant amount of investment from top investors
Learn more about Google image

Funding

AMOUNT RAISED
$25.1M
FUNDED OVER
3 rounds
Rounds
IPO
$26000000000
IPO - Aug 2004+2

Founders

Larry Page
Founder
image
Sergey Brin
Founder
Silicon Valley
image
View the team image

Similar Jobs

Off The Record company logo
Off The Record
Fight your traffic tickets directly from your smart phone
Tamarack Software company logo
Tamarack Software
Modern, end-to-end software for the wood processing industry
Kick Health company logo
Kick Health
The Online Performance Medicine Clinic for Energizing Sleep and Confident Presentations
Sponsor a Pet company logo
Sponsor a Pet
We are a fundraising company for animal non-profits
Adronite company logo
Adronite
A platform that enables companies to gain a deep understanding of complex codebases
Crema Social company logo
Crema Social
Fast Growting International Dating through a Social Meal Experiment
Scale AI company logo
Scale AI
Accelerate the development of AI applications