Senior Software Engineer, GenAI GCP Security at Google

Kirkland, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Aug, 26

Salary

252000.0

Posted On

26 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, Machine Learning Infrastructure, Generative AI, Large Language Models, Software Design, Software Architecture, Cloud-based Storage Systems, Data Structures, Algorithms, Security Engineering, Network Security, Google Cloud Platform, Model Deployment, Model Evaluation, Data Processing

Industry

Software Development

Description

MINIMUM QUALIFICATIONS: * Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. * 5 years of experience programming in Python or C++. * 3 years of experience with machine learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, or debugging). * 1 year of experience with Generative AI (GenAI) techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or GenAI-related concepts (e.g., language modeling, computer vision). * 1 year of experience with software design, architecture, and machine learning. PREFERRED QUALIFICATIONS: * Master's degree or PhD in Computer Science, or a related technical field. * 5 years of experience developing cloud-based storage systems. * 5 years of experience with data structures and algorithms in a data ML-focused role. * 2 years of experience with security engineering, computer and network security. * Experience working on Google Cloud Platform (GCP). ABOUT THE JOB: Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $174,000-$252,000 + 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 [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Write and test product or system development code. * Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). * Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. * Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. * Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Responsibilities

Develop and test system code for GenAI solutions while collaborating with stakeholders through design and code reviews. Triage and resolve system issues and contribute to technical documentation to ensure product quality.