Software Engineer, PhD, Early Career, Infrastructure

Applicants in the County of Los Angeles:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 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 (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Atlanta, GA, USA;
Austin, TX, USA;
Kirkland, WA, USA;
Los Angeles, CA, USA;
Madison, WI, USA;
Mountain View, CA, USA;
New York, NY, USA;
Raleigh, NC, USA;
Durham, NC, USA;
San Bruno, CA, USA;
Seattle, WA, USA
.

• PhD degree in Computer Science, or a related field, or equivalent practical experience.
• Experience coding in one of the following programming languages including but not limited to: C, C++, Python, Java or Golang.
• Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization.

• Research experience in algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or systems.
• Experience in designing and implementing a complex system, for production or experimental use.
• Experience with performance, reliability, systems data analysis, visualization tools, or debugging.
• Ability to start full-time role in 2026.
• Excellent engineering skills.

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 PhD graduate, your research expertise is invaluable to us. Explore a variety of projects, collaborate with various teams, and contribute to products that are changing the world, across many product areas, including AI & Infrastructure, Cloud, and more!

Our Engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems and products. As a Google PhD Software Engineer, you will work on critical projects, with many opportunities to learn and follow your interests. We expect our engineers to be creative and versatile, leading and identifying new problems to push the field and Google technology forward.

Google is one of the world’s leading suppliers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using ML software and custom ML hardware infrastructure at massive scale.

The US base salary range for this full-time position is $141,000-$202,000 + 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,…