{"id":2509,"date":"2026-07-03T21:06:33","date_gmt":"2026-07-03T21:06:33","guid":{"rendered":"https:\/\/coderseditor.com\/itjobs\/job\/software-engineer-iii-genai-data-operations-research-xr-2\/"},"modified":"2026-07-03T21:06:33","modified_gmt":"2026-07-03T21:06:33","slug":"software-engineer-iii-genai-data-operations-research-xr-2","status":"publish","type":"job_listing","link":"https:\/\/coderseditor.com\/itjobs\/job\/software-engineer-iii-genai-data-operations-research-xr-2\/","title":{"rendered":"Software Engineer III, GenAI Data Operations Research, XR"},"content":{"rendered":"

Software Engineer III, GenAI Data Operations Research, XR Overview<\/h2>\n\n\n\n\n\n\n\n\n
Company Name<\/strong><\/td>\nGoogle<\/td>\n<\/tr>\n
Job Role<\/strong><\/td>\nSoftware Engineer III, GenAI Data Operations Research, XR<\/td>\n<\/tr>\n
Qualifications<\/strong><\/td>\nBachelor’s<\/td>\n<\/tr>\n
Category<\/strong><\/td>\nIT Jobs<\/td>\n<\/tr>\n
Job Type<\/strong><\/td>\nFull Time<\/td>\n<\/tr>\n
Location<\/strong><\/td>\nLondon<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

This mid-level software engineering role sits within Google\u00e2\u0080\u0099s Platforms and Devices organization and focuses on GenAI data operations research for XR. The team works on software platforms across desktop, mobile, and applications, along with first-party devices and services that combine Google AI, software, and hardware. The work is centered on building technologies that improve how people interact with computing, with an emphasis on scale, innovation, and practical impact.<\/p>\n

What you will do<\/h3>\n
    \n
  • Partner with engineers and other stakeholders during design and code reviews, helping ensure that the team\u00e2\u0080\u0099s work follows strong engineering standards for style, correctness, testability, efficiency, and clean code integration.<\/li>\n
  • Design and deliver solutions in specialized machine learning areas, making use of machine learning infrastructure and contributing to model improvement and data-processing workflows.<\/li>\n
  • Own and coordinate high-volume synthetic dataset efforts, including the delivery of metadata for XR and Platforms and Devices projects.<\/li>\n
  • Create modular tooling that supports GenAI bulk inference and metadata extraction at scale.<\/li>\n
  • Build complete end-to-end pipelines used to fine-tune internal foundation models.<\/li>\n<\/ul>\n

    What Google is looking for<\/h3>\n
      \n
    • A bachelor\u00e2\u0080\u0099s degree or equivalent practical experience.<\/li>\n
    • At least 2 years of software development experience in one or more programming languages, or at least 1 year of experience if you hold an advanced degree.<\/li>\n
    • At least 1 year of experience in one or more of the following areas: speech and audio technologies, reinforcement learning, machine learning infrastructure, or another machine learning specialty.<\/li>\n
    • At least 1 year of experience working with ML infrastructure, such as model deployment, model evaluation, data processing, or debugging.<\/li>\n
    • For stronger consideration, a master\u00e2\u0080\u0099s degree or PhD in computer science or a related technical discipline.<\/li>\n
    • For stronger consideration, 2 years of experience with data structures and algorithms.<\/li>\n
    • For stronger consideration, experience with C++, parallel computing, and Blender.<\/li>\n
    • For stronger consideration, experience developing accessible technologies.<\/li>\n
    • For stronger consideration, strong Python skills and familiarity with frameworks used for large-scale data processing.<\/li>\n
    • The ability to operate at the Software Engineer III level, meaning you can make progress on complex work, solve problems independently, and support the growth of more junior team members.<\/li>\n
    • English fluency, since Google says English proficiency is required for all roles unless the posting says otherwise.<\/li>\n<\/ul>\n

      Team and role context<\/h3>\n

      Google describes its software engineers as people who help build next-generation technologies used by billions of users. The company says engineers may work across areas such as information retrieval, distributed systems, large-scale system design, networking, storage, security, artificial intelligence, natural language processing, user interface design, and mobile. In this role, you would be assigned to a specific project that is important to Google\u00e2\u0080\u0099s needs, with the possibility of moving between teams and projects as the business changes and grows.<\/p>\n

      The posting also emphasizes that Google values engineers who are adaptable, show leadership, and are eager to take on new challenges across the full stack.<\/p>\n

      Additional information<\/h3>\n
        \n
      • Google says it is an equal opportunity and affirmative action employer.<\/li>\n
      • The company states that it is committed to building a workforce that reflects the users it serves and to fostering a culture of belonging.<\/li>\n
      • Applicants who need an accommodation can request one through Google\u00e2\u0080\u0099s accommodations process.<\/li>\n
      • Google notes that information collected through a Careers profile and any submitted applications is handled under its Applicant and Candidate Privacy Policy.<\/li>\n
      • The company states that it does not accept resumes from agencies and will not pay fees for unsolicited submissions.<\/li>\n
      • Google explains that equity, when granted, is handled by Alphabet and is discretionary, subject to approval and the terms of the relevant stock plan and grant agreement.<\/li>\n
      • Google also states that English proficiency is required for all roles unless the posting says otherwise.<\/li>\n<\/ul>\n

        The posting does not include a separate section describing visa sponsorship or right-to-work eligibility.<\/p>\n\n

        Degree Requirement:<\/strong> Bachelor’s<\/p>\n

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