Staff Software Engineer, ML Infrastructure

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

Job Summary

Job Description

Google is seeking a Staff Software Engineer for its ML Infrastructure team. This role requires 8+ years of software development experience, including 5+ years launching products, 3+ years in software design/architecture, performance analysis, and machine learning infrastructure. Responsibilities include providing technical leadership on high-impact projects, coaching engineers, managing project priorities, and designing/developing/maintaining software solutions. The ideal candidate will have experience in data structures/algorithms, technical leadership, and cross-functional projects. This position is based in Sunnyvale, CA.
Must have:
  • 8+ years software development experience
  • 5+ years launching software products
  • 3+ years software design & architecture
  • 3+ years performance analysis
  • 3+ years ML infrastructure experience
  • Technical leadership skills
Good to have:
  • Master's/PhD in related field
  • 8+ years data structures/algorithms experience
  • 3+ years technical leadership role
  • 3+ years cross-functional project experience
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 testing, and launching software products.
  • 3 years of experience with software design and architecture.
  • 3 years of experience with performance analysis.
  • 3 years of experience in machine learning infrastructure.

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 an 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 ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise 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

  • Provide technical leadership on high-impact projects.
  • Influence and coach a distributed team of engineers.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Manage project priorities, deadlines, and deliverables.
  • Design, develop, test, deploy, maintain, and enhance software solutions.

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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