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Software Engineer, PhD, Early Career, AI/Machine Learning (2026 Start) at Google

Jan 14, 2026   |   Location: Sunnyvale, CA; Atlanta, GA; Seattle, WA; New York, NY; and other US hubs.   |   Deadline: Not specified

Experience: Senior

Continent: North America

Salary: $141,000 – $202,000 (Base) + Bonus + Equity + Benefits

Role Overview
This is Google's primary pipeline for hiring PhD graduates who are wrapping up their research and looking to transition into industry in 2026.

Unlike the previous roles you viewed (which were for specific teams like "Atlas" or "B2B"), this is a generalist pool hiring process. You interview first, pass the technical hiring committee (HC), and then enter a "Team Matching" phase where you shop around for teams within Google (e.g., Search, YouTube, DeepMind, or Cloud) that fit your thesis and skills.

Key Responsibilities
Research to Production: Translate theoretical research (from your PhD) into scalable, robust products.

Full Stack AI: You aren't just building models; you are expected to build the data ingestion pipelines, APIs, and serving infrastructure around them.

Optimization: Analyze performance bottlenecks in distributed systems to ensure efficient model training and inference.

Technical Qualifications
Core: PhD in Computer Science, AI, or ML.

Languages: C++, Python, Java, or Go.

Frameworks: Deep expertise in TensorFlow, JAX, or PyTorch is essential. Google heavily uses JAX and TensorFlow internally for their foundational models.

Architectures: The listing explicitly calls out Diffusion Models and Transformers (both Vision and NLP).

Workforce Diversity Statistics
Google publishes a granular diversity report annually. For the United States workforce in 2024, the demographic breakdown for technical roles and the overall workforce is as follows:

US Workforce by Race/Ethnicity (2024):

Asian: 47.3%

White: 41.6%

Hispanic / Latinx: 6.3%

Black / African American: 3.6%

Native American: 0.6%

Global Gender Representation (Tech Roles):

Men: 73.7%

Women: 26.3%

Compensation Context
While the base salary listed ($141k – $202k) might look lower than the OpenAI management role ($325k+), PhD compensation at Google is heavily equity-weighted.

Base: ~$160k - $190k (Typical L4 PhD entry).

Equity (GSUs): This is the major component. A standard four-year grant for a PhD entrant can range significantly, often bringing Total Compensation (TC) to $300k - $400k+ in the first year.

Sign-on: Google often provides substantial sign-on bonuses for PhDs to cover relocation and the gap between academia and industry.
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