Staff Software Engineer, Generative AI, Data Analytics
Company: Google
Location: Cupertino
Posted on: July 1, 2025
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Job Description:
Minimum qualifications: Bachelors degree or equivalent practical
experience. 8 years of experience in software development. 5 years
of experience testing, and launching software products. 3 years of
experience with software design and architecture. Experience with
machine learning algorithms and tools (e.g., TensorFlow),
artificial intelligence, deep learning, natural language processing
or other ML discipline (C++, Python, Data Analytics, and Google
coLaboratory Notebook). Preferred qualifications: Master’s degree
or PhD in Engineering, Computer Science, or a related technical
field. 8 years of experience with data structures/algorithms. 3
years of experience in a technical leadership role leading project
teams and setting technical direction. 3 years of experience
working in a complex, matrixed organization involving
cross-functional, or cross-business projects. Experience in
Generative AI (Large Language Models, Multi-Modal, Large Vision
Models) C++, Python, Data Analytics, and Google coLaboratory
Notebook. Experience with Large Language Model, Generative AI,
Generative AI Agent, Multimodal Machine Learning. About the job
Googles software engineers develop the next-generation technologies
that change how billions of users connect, explore, and interact
with information and one another. Our products need to handle
information at massive scale, and extend well beyond web search.
Were looking for engineers who bring fresh ideas from all areas,
including information retrieval, distributed computing, large-scale
system design, networking and data storage, security, artificial
intelligence, natural language processing, UI design and mobile;
the list goes on and is growing every day. As a software engineer,
you will work on a specific project critical to Google’s needs with
opportunities to switch teams and projects as you and our
fast-paced business grow and evolve. We need our engineers to be
versatile, display leadership qualities and be enthusiastic to take
on new problems across the full-stack as we continue to push
technology forward. With your technical expertise you will manage
project priorities, deadlines, and deliverables. You will design,
develop, test, deploy, maintain, and enhance software solutions. In
this role, you will work closely with our team of experts to
research, explore and develop innovative solutions that will bring
generative AI to the forefront of GCP Data Analytics for our
customers. You will specifically be working on natural language to
Python code generation using LLM for data analytics and
conversational analytics use cases. The Google Cloud AI Research
team addresses AI challenges motivated by Google Cloud’s mission of
bringing AI to tech, healthcare, finance, retail and many other
industries. We work on a range of unique problems focused on
research topics that maximize scientific and real-world impact,
aiming to push the state-of-the-art in AI and share findings with
the broader research community. We also collaborate with product
teams to bring innovations to real-world impact that benefits our
customers. The US base salary range for this full-time position is
$197,000-$291,000 bonus equity benefits. Our salary ranges are
determined by role, level, and location. Within the range,
individual pay is determined by work location and additional
factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the
specific salary range for your preferred location during the hiring
process. Please note that the compensation details listed in US
role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities Provide technical leadership on high-impact
projects. Design and develop next-generation software systems for
data analytics. Work closely with Team Leads to define and develop
new solutions using LLMs. Prototype and research for solutions in
projects with a high-level of uncertainty. Participate in
discussion with Product Managers and customers to understand
requirements and map those to technical requirements.
Keywords: Google, Milpitas , Staff Software Engineer, Generative AI, Data Analytics, IT / Software / Systems , Cupertino, California
