Software Engineer, Systems Research, PhD, Early Career

Google; Sunnyvale (CA); On-site; USD 147,000 - 211,000; Full time

Job summary

Google is seeking researchers to advance computing and build the next generation of intelligent systems for Google products. The AI and Infrastructure team delivers AI at scale, reliability, and velocity, supporting Google Cloud and billions of users worldwide.

This role emphasizes foundational research, experimental systems, and collaboration across research and engineering to influence product direction. PhD or equivalent experience is typical, with a proven record in systems design and

Qualifications

• PhD degree in CS or related field or equivalent experience.
• Experience coding in C, C++, Java, JavaScript, Python, or Golang.
• Research experience in computer systems design and implementation.

Responsibilities

• Explore emerging technologies and systems as an individual contributor in the research and development team.
• Participate in team projects to carry out system design, analysis, and building prototypes to demonstrate advantages and challenges for data center and cloud applications, including ML.
• Create strategies for innovative projects and follow-on products for the future.
• Operate across research and engineering teams to influence products or integrate research results into products.

Skills

C/C++

Java

JavaScript

Python

Golang

Research experience

Education

PhD in Computer Science or related field

Job description

Minimum qualifications:

• PhD degree in Computer Science, or a related technical field, or equivalent practical experience.
• Experience coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, Python, or Golang.
• Research experience in an area of computer systems design and implementation.

Preferred qualifications:

• PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Experience in Research areas such as storage systems, memory systems, distributed systems and networks, novel I/O systems, computer architecture and accelerators, databases and analytics, cloud computing, sustainability, privacy, or other emerging technologies.
• Experience in authoring/co-authoring of papers in venues in the systems field (e.g., SOSP, OSDI, ISCA, ASPLOS, MICRO, ASPLOS, PLDI, SIGCOMM, NSDI, SIGMOD, etc.).
• Experience in systems for Machine Learning (ML).
• Experience designing and implementing an experimental system in a research or product development environment.

About the job

Researchers across Google are working to advance the state of the art in computing and build the next generation of intelligent systems for all Google products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.

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: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Explore emerging technologies and systems as an individual contributor in the research and development team.
• Participate in team projects to carry out system design, analysis, and building of prototypes to demonstrate advantages and reveal challenges of these technologies for a broad range of applications in the data center and modern Cloud environments, including machine learning.
• Create strategies that will lead to innovative projects and follow‑on products for the future.
• Operate across research and engineering teams in order to influence products or integrate research results into products.

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.

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.