Master's degree or PhD in Computer Science or related technical fields. * Experience building ... As a software engineer, you will work on a specific project critical to Google's needs with ...
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$139K - $183K/yr
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Preferred : • Master's degree or PhD in Engineering, Computer Science, or a related technical ... software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in ...
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Phd Software Engineer information
See Seattle, WA salary details
$72.3K - $87K
2% of jobs
$87K - $101.7K
4% of jobs
$101.7K - $116.4K
6% of jobs
$116.4K - $131.1K
8% of jobs
$139K is the 25th percentile. Wages below this are outliers.
$131.1K - $145.8K
7% of jobs
$145.8K - $160.5K
18% of jobs
The median wage is $163.9K / yr.
$160.5K - $175.2K
16% of jobs
$175.2K - $189.9K
2% of jobs
$195.9K is the 75th percentile. Wages above this are outliers.
$189.9K - $204.6K
26% of jobs
$204.6K - $219.3K
1% of jobs
$219.3K - $234K
8% of jobs
$72.3K
$168K
$234K
How much do phd software engineer jobs pay per year?
What is a PhD software engineer?
What are the key skills and qualifications needed to thrive as a PhD software engineer?
What does a PhD software engineer do?
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Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 16 days ago
Google rating
8.9
Based on 102 frontline employees who took The Breakroom Quiz
40th of 242 rated software companies
Job description
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
- 2 years of software development experience with a focus on AI/ML or Data Analytics.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience with one or more of Java/Go/Python/TypeScript.
- Experience in Generative AI, Agentic Frameworks (e.g., LangChain, AutoGen), Backend System Design, ML concepts and Cloud services (Google Cloud Platform, Cloud Computing Platform).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience building developer-facing products for integrated development environments (IDEs like VSCode) or Command Line (CLI).
- Experience with Large Language Models for code (e.g., Gemini, GPT-4, Claude), modern cloud infrastructure, and industry-standard developer tool frameworks.
- Familiarity with data warehousing concepts and BigQuery.
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.
As a Software Engineer in BigQuery's Analytics AI organization, you will build the intelligent backbone for the next generation of data processing. Our mission is to move beyond simple automation and into the era of Agentic AI, creating sophisticated, autonomous solutions that partner with users to solve their most complex data challenges.
You will design and implement AI-native solutions that act as a multiplier and architect agents capable of reasoning over vast datasets, optimizing pipelines, and assisting across the entire data life-cycle, from ingestion and feature extraction to model training and advanced analytics. You will work at the intersection of large-scale distributed systems and Generative AI, partnering closely with product managers, engineers, data scientists, and designers to ensure BigQuery remains the industry leader in intelligent data warehousing.
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: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
- Lead the design and development of next-generation agentic solutions that handle complex reasoning for various data developer experiences such as data ingestion, data pipelines, data science, feature extraction, model training and more.
- Redefine the customer experience for Data Analytics with an AI-first focus.
- Architect systems that integrate Large Language Models (LLMs) with BigQuery's core engine to create autonomous "experts" for user personas.
- Iterate on agentic frameworks, contributing to sophisticated tool-use, memory, context retrieval, multi-step orchestration, and rigorous evaluation (evals) to ensure accuracy and reliability of orchestration at petabyte scale.
- Partner cross-functionally with Product, Data Scientists, Applied Scientists, and UX Designers to define the roadmap for AI-native data journeys.
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.
About Google
Sourced by ZipRecruiter
Industry
Software development and technology, communication and media
Company size
10,000+ Employees
Headquarters location
Mountain View, CA, US