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Home›Jobs›Google›Staff Software Engineer, Generative AI, Cloud Security
Google

About Google

Empowering the world through technology and information

🏢 Tech👥 100K+📅 Founded 1998📍 Mountain View, California, United States

Key Highlights

  • Over 100,000 employees globally
  • Headquartered in Mountain View, California
  • Parent company Alphabet Inc. valued at $1.5 trillion
  • Google Cloud Platform serves millions of customers

Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...

🎁 Benefits

Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...

🌟 Culture

Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

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Google

Staff Software Engineer, Generative AI, Cloud Security

Google • San Francisco, CA, USA

Posted 1 month ago🏛️ On-SiteSeniorStaff engineer📍 San francisco
Apply Now →

Skills & Technologies

Machine learningGenerative aiCloud security

Overview

Google is seeking a Staff Software Engineer specializing in Generative AI and Cloud Security. You'll lead the design and optimization of ML infrastructure while mentoring team members. This role requires 8+ years of experience in software development and expertise in machine learning techniques.

Job Description

Who you are

You have a Bachelor's degree or equivalent practical experience and at least 8 years of experience in software development. With 5 years of experience in testing and launching software products, you have a strong foundation in software design and architecture. Your leadership skills shine through your 3 years of experience in leading ML design and optimizing ML infrastructure, including model deployment and evaluation. You are well-versed in Generative AI techniques, such as large language models and computer vision, with at least 2 years of hands-on experience in this area. You possess a deep understanding of data structures and algorithms, which you have applied in various projects over your career. Your experience working in cross-functional teams has equipped you with the skills to navigate complex project dynamics effectively.

Desirable

A Master’s degree or PhD in Engineering, Computer Science, or a related technical field would be a plus. You have a proven track record of leading project teams and setting technical direction, which has prepared you for a technical leadership role at Google. Your ability to stay up-to-date with new research and developments in the evolving fields of Generative AI and security is commendable.

What you'll do

As a Staff Software Engineer at Google, you will be responsible for designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions within the SecOps product and Security Intelligence platforms. You will mentor and develop other team members, fostering a collaborative environment and promoting high-quality engineering practices. Your role will involve staying informed about the latest advancements in Generative AI and security, ensuring that your team is at the forefront of innovation. You will work closely with cross-functional teams to implement new features and capabilities, contributing to the overall success of Google's products. Your leadership will guide the technical direction of projects, ensuring that best practices are followed and that the team is aligned with Google's mission to change how billions of users connect and interact with information.

What we offer

At Google, you will be part of a team that is dedicated to developing next-generation technologies that handle information at massive scale. You will have the opportunity to work on impactful projects that extend beyond web search, shaping the future of technology. Google values collaboration and encourages you to apply even if your experience doesn't match every requirement. You will be supported in your professional growth and development, with access to resources and mentorship to help you succeed in your role.

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