Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience with modern LLMs and generative models.
  
  

Preferred qualifications:

• PhD with specification in ML or Large Language Models or related fields.
• Experience designing and working with Enterprise Mainframe applications and technology which includes: Mainframe and iSeries architecture, COBOL, JCL, Cics, RPG, DB2, IMS, and other MF technologies.
• Understanding and experience designing and architecting modern enterprise production systems for customers using AI.
• Ability to come up with creative solutions to problems.
• Ability to present and explain complex ideas/solutions to different audiences.
  
  

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.

As the Staff Software Engineer, you will be part of the Core team responsible for the architecture, technology, and implementation of AI code modernization solutions.

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

• Research existing and new technologies in the AI domain in order to solve application code modernization challenges.
• Work with multiple AI teams in Google.
• Collaborate with customers and partners for requirements understanding and mapping.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .