Google logo

Senior Software Engineer, AI/ML, AI and Infrastructure

Google

Mountain View, CAJob$174–252K/yrPosted 2mo agoStill listed today

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$174–252K/yr
Location
Mountain View, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Google’s AI and Infrastructure team develops AI models, computing platforms, and services at global scale. The Senior Software Engineer will work in a specialized ML area, using ML infrastructure to design and implement solutions. The role involves developing and testing software, collaborating on design and code reviews, resolving system issues, and contributing to documentation.

Skills & qualifications

RequiredNice to have

Skills

Software TestingSoftware MaintenanceSoftware DesignSoftware ArchitectureSpeech TechnologyReinforcement LearningData ProcessingDebuggingData StructuresAlgorithmsInformation RetrievalDistributed ComputingInternetworkingComputer Data StorageArtificial IntelligenceNatural Language Processing SystemsMobile Application DevelopmentPythonC++Software LaunchingSpeech and AudioML InfrastructureMachine LearningModel DeploymentModel EvaluationModel OptimizationData Structures and AlgorithmsTechnical LeadershipAccessible Technology Development

Qualifications

Bachelor's Degree or Equivalent Practical Experience5 Years Python or C++ Experience3 Years Software Product Experience1 Year Software Design and Architecture Experience3 Years Speech, Reinforcement Learning, ML Infrastructure, or ML Field Experience3 Years ML Infrastructure ExperienceMaster's or PhD in Computer Science or Related Field5 Years Data Structures and Algorithms Experience1 Year Technical Leadership ExperienceEnglish Proficiency

Full job description

Senior Software Engineer, AI/ML, AI and Infrastructure Share Senior Software Engineer, AI/ML, AI and Infrastructure

  • linkCopy link
  • emailEmail a friend

corporate_fareGoogleplaceMountain View, CA, USA; Sunnyvale, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply

Share Senior Software Engineer, AI/ML, AI and Infrastructure

  • linkCopy link
  • emailEmail a friend

info_outline XIn most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of experience programming in Python or C++.

  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

  • 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.

  • 5 years of experience with data structures/algorithms.

  • 1 year of experience in a technical leadership role.

  • Experience developing accessible technologies.

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. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities

  • Write and test product or system development code.

  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

  • Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

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.

How this job compares

Set against the 42,008 open Software Engineer jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This posting$174–252K/yr
  • California median$165–246K/yr7,793 salary ranges
  • US median$135–218K/yr33,367 salary ranges

This range's midpoint, $213K, is 4% above the California median midpoint ($205K) — in the middle half of Software Engineer salary ranges in California.

Openings
Olive Jobs lists 9,712 open Software Engineer jobs in California and 42,008 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 5 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (34,212 postings).
Education
13,955 of the 42,008 open Software Engineer jobs (33%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Prepare for this role

You've read the whole posting — now see how you match it.