Senior Software Engineer, AI/ML, GCP
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor’s 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 job
Google 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 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
- 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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.