Senior Software Engineer, AI/ML, Google Cloud Technical Infrastructure

1 Month ago • 5-8 Years • Artificial Intelligence • $166,000 PA - $244,000 PA

Job Summary

Job Description

Google is seeking a Senior Software Engineer specializing in AI/ML and Google Cloud Technical Infrastructure. The role involves writing and testing code, collaborating on design and code reviews, contributing to documentation, debugging system issues, and designing/implementing ML solutions. The ideal candidate will have 5+ years of software development experience, 3+ years in ML infrastructure (model deployment, evaluation, optimization, data processing), and expertise in at least one specialized ML area (speech/audio, reinforcement learning, etc.). Responsibilities include collaborating with peers, ensuring best practices, triaging and resolving product/system issues, and contributing to documentation. The position requires strong software design and architecture skills and experience with data structures and algorithms.
Must have:
  • 5+ years software development experience
  • 3+ years ML infrastructure experience
  • Expertise in at least one ML area
  • Strong software design & architecture
  • Data structures & algorithms proficiency
  • Testing, maintenance, and launch experience
Good to have:
  • Master's/PhD in CS or related field
  • Technical leadership experience
  • Experience with accessible technologies
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 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.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $166,000-$244,000 + 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

  • 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 solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

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