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Google Software Jobs (NOW HIRING)

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Software Engineer III, AI/ML, Google Cloud

Sunnyvale, CA · On-site

$67.50 - $90.75/hr

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 ...

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$48K

$111.8K

$166K

How much do google software jobs pay per year?

As of May 31, 2026, the average yearly pay for google software in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google Software Engineer, and why are they important?

To thrive as a Google Software Engineer, you need strong programming skills in languages like Python, Java, or C++, a solid understanding of algorithms and data structures, and typically a degree in computer science or a related field. Familiarity with development tools such as Git, cloud platforms like Google Cloud, and experience with distributed systems are commonly required. Standout soft skills include problem-solving, collaboration, and effective communication, which are vital for working in cross-functional teams. These competencies enable engineers to build scalable, reliable products and contribute effectively to Google's innovative environment.

How does a Software Engineer at Google typically collaborate with cross-functional teams during a project?

Software Engineers at Google frequently work alongside cross-functional teams that may include product managers, UX designers, quality assurance engineers, and data scientists. Collaboration often involves regular stand-up meetings, code reviews, and brainstorming sessions to align on project goals, share technical progress, and resolve challenges efficiently. This team-driven approach not only enhances product quality but also provides engineers with opportunities to learn from diverse perspectives and expand their skill set. Effective communication and a willingness to give and receive feedback are key to thriving in this collaborative environment.

What does a Google Software Engineer do?

A Google Software Engineer designs, develops, tests, and maintains software products and systems that power Google's wide range of services. They work on complex technical challenges, collaborate with cross-functional teams, and contribute to the scalability, performance, and security of Google's infrastructure. Their responsibilities may include writing code, debugging, reviewing peers' work, and participating in the design of innovative solutions.

What is the difference between Google Software vs Google Software Engineer?

AspectGoogle SoftwareGoogle Software Engineer
Required CredentialsBachelor's degree in CS or related field, coding skillsBachelor's or higher in CS, strong coding skills, sometimes internships
Work EnvironmentProduct teams, collaborative, innovativeDevelopment teams, coding, debugging, designing
Employer & Industry UsageGoogle's internal roles, tech industryGoogle's official job title, tech industry standard
Search & Comparison IntentGeneral roles at Google, non-specificSpecific coding and development roles at Google

Google Software typically refers to roles involving software development at Google, often used broadly for various technical positions. Google Software Engineer is a specific job title for a developer working on Google's products, requiring coding skills and technical expertise. While both involve software development, the Software Engineer role is more defined and formalized within Google's hiring structure.

What cities are hiring for Google Software jobs? Cities with the most Google Software job openings:
What states have the most Google Software jobs? States with the most job openings for Google Software jobs include:
Google Software jobs near you
Infographic showing various Google Software job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 6% Part Time, and 22% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.

Software Engineer III, AI/ML, Google Cloud

Google

Sunnyvale, CA • On-site

$67.50 - $90.75/hr

Full-time

Posted 24 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

30th of 184 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience programming in Python or C .
  • 1 year 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.
  • 1 year 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 fields.
  • 2 years of experience with data structures or algorithms.
  • 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.
The US base salary range for this full-time position is $147,000-$211,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Write 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.
  • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

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.

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