Staff Software Engineer, Generative AI, Data Analytics

9 Months ago • 8-13 Years
Research Development

Job Description

This Staff Software Engineer role at Google focuses on designing and developing next-generation software systems at the intersection of data analytics (e.g., Data warehousing, Business Intelligence, Spark, Dataflow, Data Catalog) and generative AI. Responsibilities include providing technical leadership on high-impact projects, influencing and coaching a distributed team, managing project priorities and deliverables, and designing, developing, testing, deploying, maintaining, and enhancing software solutions. The ideal candidate will have extensive experience in software development, data structures/algorithms, testing, launching software products, software design and architecture, and performance/systems data analysis. Experience with Python, Notebooks, and ML Frameworks (e.g., TensorFlow) is preferred. The role involves working with a team of experts to research, explore, and develop innovative solutions for GCP Data Analytics customers.
Good To Have:
  • Master's/PhD in related field
  • Experience with Python, TensorFlow
  • Cross-functional project experience
  • Technical leadership in project teams
Must Have:
  • 8+ years software development experience
  • Data structures/algorithms expertise
  • Experience with software design & architecture
  • Data analytics & generative AI knowledge
  • Technical leadership & project management skills

Add these skills to join the top 1% applicants for this job

tensorflow
algorithms
spark
data-structures
python
data-analytics
business-intelligence
networking
cross-functional
problem-solving
user-interface

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, and with data structures/algorithms.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience with performance, systems data analysis, visualization tools, or debugging.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 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.
  • Experience with data systems.
  • Experience with Python, Notebooks, ML Frameworks (e.g., TensorFlow).

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.

In this role, you will be responsible for designing and developing next-generation software systems at the intersection of data analytics (e.g., Data warehousing, Business Intelligence, Spark, Dataflow, Data Catalog, etc.) and generative AI. You will work with a team of experts to research, explore, and develop innovative solutions that will bring generative AI to the forefront of GCP Data Analytics for customers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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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