Staff Software Engineer, GenAI, Performance Engineering

SOFTWARE_ENGINEERING
USA
نوفمبر 12, 2025
FULL_TIME

نظرة عامة على الوظيفة

  • تاريخ الإعلان
    نوفمبر 12, 2025
  • الموقع
    USA
  • تاريخ إنتهاء الصلاحية
    --

المسمى الوظيفي

2025-10-27T09:59:53.215Z

114764507078632134

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

  • Experience in a technical leadership role and leading cross-functional engineering projects from conception to completion.
  • Experience developing and driving a technical strategy and road-map that impacts multiple product areas or organizations.
  • Experience presenting technical information and recommendations to executive leadership and executive stakeholders.
  • Ability to translate high-level business objectives into technical requirements and plans.
  • Excellent problem-solving skills, with ability to use data to identify systemic issues, form hypotheses, and develop technical proposals.

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.
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.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

المسؤوليات

  • Lead technical analysis across Google’s ML infrastructure (including training, serving, and scheduling) to identify opportunities for efficiency gains, cost optimization, and improved resource utilization.
  • Partner with technical leads across serving, training, scheduling, and fleet management to establish and drive technical governance, this includes defining and implementing technical policies and mandates to ensure a consistent and efficient operation of the ML fleet.
  • Collaborate with Machine Learning Strategy and Allocation Committee (MLSA) leadership to translate Google’s AI priorities into technical road-map for the ML compute resources, ensuring the capacity planning and allocation strategies support the most critical initiatives.
  • Serve as a key technical consultant and guide for Product Areas (PAs) and engineering organizations.
  • Develop and advocate technical proposals for new frameworks, tools, and systems that enable more efficient and dynamic allocation of ML resources.

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.

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