Senior Software Engineer, Generative AI, Google Cloud AI

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

Job Summary

Job Description

Google Cloud AI seeks a Senior Software Engineer with expertise in Generative AI (LLMs, multi-modal, large vision models). Responsibilities include writing and testing code, participating in design reviews, code reviews, contributing to documentation, debugging and resolving system issues. The ideal candidate possesses 5+ years of software development experience, 3+ years in product testing/launch, and 1+ year in software design/architecture. Experience with machine learning algorithms (TensorFlow), AI, deep learning, and NLP is essential. The role involves managing project priorities and deliverables, enhancing software solutions, and collaborating with cross-functional teams.
Must have:
  • 5+ years software development experience
  • 3+ years testing/launching software
  • 1+ year software design/architecture
  • Generative AI expertise (LLMs, etc.)
  • ML algorithms & tools (TensorFlow)
  • AI, deep learning, NLP experience
Good to have:
  • Master's/PhD in CS
  • Experience in complex organizations
  • Technical leadership experience
  • Accessible technology development

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.
  • Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models).
  • Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • 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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

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.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (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.

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