Job
Description
Minimum qualifications:
Bachelors degree in Computer Science or a related technical field, 5 years of experience in software development using one or more programming languages, 2 years of experience with ML infrastructure, including model deployment, evaluation, optimization, data processing, and debugging, 1 year of experience in ML performance, large-scale systems data analysis, ML debugging, Large Language Models (LLMs), or a related ML field, Preferred qualifications: Experience in data structures and algorithms, Ability to manage product improvement through bug fixes and feature enhancements, Ability to develop advanced ML/AI infrastructure training materials and demos and collaborate with internal infrastructure teams to identify bottlenecks and expand capacity, About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve You will anticipate our customer needs and be empowered to act like an owner, take action and innovate 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 Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles 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 Partner with customers to measure AI/ML model performance on Google Cloud infrastructure Identify and resolve technical bottlenecks to drive customer success, Collaborate with internal infrastructure teams to enhance support for demanding Artificial Intelligence (AI) workloads Develop and deliver quality training materials and demos for customers and internal teams, Contribute to product improvement by identifying bugs and recommending enhancements Write and test production-quality code for system development and deployment, Conduct performance profiling, debugging, and troubleshooting of training and inference workloads Conduct design and code reviews to ensure adherence to best practices across technologies, Triage, debug, and resolve system issues by analyzing root causes and operational impact Design and implement specialized Machine Learning (ML) solutions, leveraging advanced ML infrastructure, 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 ,
