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

1 Month ago • 8-11 Years • Artificial Intelligence • $197,000 PA - $291,000 PA

Job Summary

Job Description

This Staff Software Engineer role at Google Cloud AI focuses on designing, developing, and deploying large-scale GenAI solutions. Responsibilities include technical leadership on high-impact projects, managing project priorities, and facilitating team alignment. The ideal candidate will have extensive experience with GenAI techniques (LLMs, Multi-Modal, Large Vision Models), ML infrastructure optimization, and software product launches. They will lead the design of GenAI solutions, optimize ML infrastructure, and guide data preparation and model optimization strategies. The role requires strong software engineering skills and the ability to lead and mentor a team.
Must have:
  • 8+ years software development experience
  • 5+ years GenAI experience (LLMs, etc.)
  • 5+ years leading ML design & infrastructure optimization
  • 5+ years testing and launching software products
  • 3+ years software design and architecture experience
Good to have:
  • Master's/PhD in relevant field
  • 8+ years data structures/algorithms experience
  • 3+ years technical leadership
  • 3+ years experience in complex organizations
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years 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).
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures/algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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 Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

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 .

Responsibilities

  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.
  • 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 the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.

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