Senior Software Engineer, AI/ML GenAI, Google Cloud AI

Google

Cambridge (MA)

On-site

USD 174,000 - 252,000

Full time

12 hours ago
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Job summary

Google is seeking software engineers to join the AI and Infrastructure team, building scalable systems and GenAI solutions across our platforms. You will work on distributed computing, model deployment, and core AI capabilities that support billions of users.

Minimum qualifications include a Bachelor's degree or equivalent, 5 years of Python or C++ experience, 3 years in ML infrastructure, and 3 years in software testing or launching products.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 5 years programming in Python or C++.
  • 3 years ML infrastructure experience (deployment/evaluation).
  • 3 years testing, maintaining, or launching software products.
  • 1 year experience with software design and architecture.
  • 1 year experience with GenAI techniques or related concepts (LLMs, vision).

Responsibilities

  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices; ensure code quality and efficiency.
  • Contribute to documentation and educational content; adapt content to product updates and user feedback.
  • Triage product or system issues and debug/track/resolve impacting hardware, network, or service operations.
  • Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between techniques.

Skills

Python
C++
ML infrastructure
Software testing

Education

Bachelor's degree or equivalent practical experience
Master's degree or PhD in CS or related field

Tools

GenAI concepts

Job description

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA; Cambridge, MA, USA.

Minimum qualifications
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience programming in Python or C++.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 3 years of experience testing, maintaining, or launching software products.
  • 1 year of experience with software design and architecture.
  • 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications
  • Master's degree or PhD in Computer Science or related technical field.
  • 5 years of experience with data structures/algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.
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.

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

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

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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