AI/ML Infrastructure Software Engineer

Benefits

Parental leave

18 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

18 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI/ML Infrastructure Software Engineer Bengaluru, Karnataka, India The AI Flow Platform and suite of products are used by thousands of Googlers across all product areas to drive business impact for Google in innumerable ways (e.g., finding insights in data, building classical ML models, experimenting with Gemini, and more). Our team provides a dependable, compliant, and scalable platform that enables product teams to iterate rapidly on new ideas and to take the best ideas for production. In this role, you will have an opportunity to influence the future of applied ML at Google, pushing the boundaries of what teams can achieve with generative and discriminative technologies, leaving a lasting impact on the field. Develop and maintain our production service, written in C++ and Python, and further the platform goal of incorporating prompt optimization, fine tuning, hyperparameter optimization, and ML best practices into Google product development. Design and implement customer requested ML and AI features end-to-end from requirements-gathering and design-authoring, through implementation and landing impact in production. Explore charter expansion based on next-generation product requirements from internal and external customers. Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Experience in ML Infrastructure Development or ML Performance Engineering. Preferred qualifications: Experience with Machine Learning (ML) development process. Expertise in C++ and Python, Responsible ML, ML Explainability, ML Fairness Tensorflow , JAX, Keras, Gemax TFX, TFlex, Xflow or ML Performance Engineering. Knowledge of Google production

Read the full description at www.google.com. FewerJobs shows a preview and links to the original posting.