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Google Mathematics Jobs in Texas (NOW HIRING)

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field and 5 years of ... About the job Google Cloud accelerates every organization's ability to digitally transform its ...

Master's degree or PhD in a quantitative field like engineering, computer science, mathematics, or ... About the job At Google, trust is the most valuable currency. The Trust and Safety team is the ...

Master's degree or PhD in a quantitative field like engineering, computer science, mathematics, or ... We are on a critical mission to protect Google's users and ensure online safety across core and ...

Mathematics Teacher

Edinburg, TX · On-site

$49K - $64K/yr

Communicate daily with all students or parents via Google Classroom, Google Meet, Microsoft Office 365 Email, or phone or video conference. Maintain an ongoing contact log for your records.

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Google Mathematics information

What is a Google Mathematics?

A Google Mathematics job involves applying advanced mathematical concepts to solve complex problems in areas like artificial intelligence, machine learning, cryptography, data analysis, and algorithm design. Mathematicians at Google work on optimizing search algorithms, improving AI models, enhancing data compression, and developing new computational techniques. These roles often require expertise in areas such as probability, statistics, optimization, and discrete mathematics. Candidates typically have advanced degrees (master's or Ph.D.) in mathematics, computer science, or related fields.

What are the key skills and qualifications needed to thrive in the Google Mathematics position, and why are they important?

To thrive in a Google Mathematics role, you need a robust background in applied mathematics, statistics, and computer science, typically supported by an advanced degree such as a Master's or Ph.D. Proficiency in programming languages like Python or C++, mathematical modeling tools, and familiarity with large-scale data systems are commonly required. Strong problem-solving skills, creativity, and the ability to clearly communicate complex ideas are highly valued. These competencies are crucial to develop innovative solutions for Google's data-driven projects and to contribute successfully within multidisciplinary teams.

What are typical projects or challenges a Google Mathematics professional might work on?

Professionals in Google Mathematics roles often engage in projects that require designing new algorithms, optimizing search or recommendation systems, and developing advanced statistical models to support Google's products and services. They may tackle challenges like handling large datasets, improving machine learning efficiency, or solving complex optimization problems with practical, real-world impact. Teams are typically collaborative and multidisciplinary, so you'll work with engineers, researchers, and product managers to turn mathematical research into deployable solutions. The dynamic work environment encourages continuous learning and offers opportunities for career growth into technical leadership or specialized research fields. Overall, Google Mathematics professionals play a crucial part in driving innovation at the company.

Does Google hire mathematicians?

Yes, Google hires mathematicians for roles in data analysis, research, and engineering that require strong mathematical skills, including expertise in algorithms, statistics, and modeling. These positions often involve working with large datasets, machine learning, and developing innovative solutions, and typically require advanced degrees such as a master's or Ph.D. in mathematics or related fields.

What are popular job titles related to Google Mathematics jobs in Texas?

For Google Mathematics jobs in Texas, the most frequently searched job titles are:

Infographic showing various Google Mathematics job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution.

Supportability Technical Lead, AI/ML, Google Cloud

Google

Austin, TX • On-site

Full-time

Posted 4 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Sunnyvale, CA, USA.
Minimum qualifications:
  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 9 years of experience in a technical role (e.g., Technical Solutions Engineer, Software Engineer, Customer Engineer, Professional Services, or Technical Program Management), troubleshooting or triaging technical issues.
  • Experience in Google Cloud Platform, ADK, Generative AI and with AI model training, testing, evaluation, and tuning processes.
  • Experience with web technologies (e.g., HTTP, HTML, DNS, TCP).
  • Experience leveraging AI to build, read, and debug code (any language).

Preferred qualifications:
  • Experience leading projects or initiatives from design/concept through to delivery (e.g., driving a major feature improvement or new internal tool).
  • Ability to analyze and influence systems architecture and design patterns to improve supportability, debuggability, and diagnosability across the AI/ML product suite.
  • Ability to grow in changing environments and requirements.
  • Effective leadership and influencing skills in the application of AI or Machine Learning, with the ability to lead the design and implementation of AI-based solutions, web services, debugging tools, with a proven ability to work across Support and Product Engineering teams to align priorities and drive outcomes.

About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $150000 - $217000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Partner with Support, Engineering, and other cross-functional leadership to define and drive the strategic roadmap for technical support innovation and agility across the AI/ML product portfolio.
  • Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to deliver support and products.
  • Resolve technical troubleshooting and mitigating complex systemic problems faced by our customers.
  • Design the future state of technical support and customer experience by defining and advocating new standards for support processes, telemetry, tooling, and operational readiness.
  • Oversee support launch readiness and excellence for new AI/ML products and identify targeted opportunities to transform the support experience.

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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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