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Software Engineer, PhD, Early Career, 2026

Google · Bangalore

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Collected role description

Role overview

Software Engineer, PhD, Early Career, 2026 at Google

Required qualifications

  • Minimum qualification: PhD degree in Computer Science, Electrical Engineering, or a related technical field.; Experience in software development, with a focus on areas such as large-scale distributed systems, AI/ML, networking, data storage, or security.; Experience in architecture or development of distributed systems, including concurrency, multi-threading, or synchronization.; Experience in algorithms, complexity analysis, and system design.; Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang.

Preferred qualifications and skills

  • Preferred qualification: Experience in areas such as algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or general systems.; Expertise in designing and implementing complex systems for either production or experimental use.; Proficiency in performance analysis or the analysis of systems data.; Demonstrated success in publishing peer-reviewed articles in prestigious conferences or journals (e.g., ACL, KDD, SOSP, Nature).; Availability to commence a full-time position in 2026.; Exceptional engineering capabilities.

Employment details

  • Location: Bengaluru [Karnataka] [India]

Application details

  • 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 .

About the employer

  • Google is proud to be an equal opportunity and affirmative action employer.
  • 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.
  • Please do not forward resumes to our jobs alias, Google employees, or any other organization location.

Additional role details

  • 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 .
  • To all recruitment agencies: Google does not accept agency resumes.
  • 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.

Collected minimum qualification

PhD degree in Computer Science, Electrical Engineering, or a related technical field.; Experience in software development, with a focus on areas such as large-scale distributed systems, AI/ML, networking, data storage, or security.; Experience in architecture or development of distributed systems, including concurrency, multi-threading, or synchronization.; Experience in algorithms, complexity analysis, and system design.; Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang.

Collected preferred qualification

Experience in areas such as algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or general systems.; Expertise in designing and implementing complex systems for either production or experimental use.; Proficiency in performance analysis or the analysis of systems data.; Demonstrated success in publishing peer-reviewed articles in prestigious conferences or journals (e.g., ACL, KDD, SOSP, Nature).; Availability to commence a full-time position in 2026.; Exceptional engineering capabilities.