Senior Software Engineer, AI Powered GRC Automation

Senior Software Engineer, AI Powered GRC Automation

X Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Kirkland, WA, USA;
New York, NY, USA;
Reston, VA, USA;
Seattle, WA, USA;
San Francisco, CA, USA
.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more general purpose programming languages, including Java, Golang.
• 3 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with generative AI, generative AI agents, natural language processing, or large language models.

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience in one or more of the following: development of consumer applications, data warehousing, analytics and reporting, data mining

We are looking for a creative and driven Software Engineer to help us build the next generation of Governance, Risk, and Compliance (GRC) solutions. Our team's mission is to leverage the power of AI and platform engineering to automate and scale critical functions like continuous controls monitoring (CCM), audit readiness, and risk management for Google's cloud and infrastructure. You will have the opportunity to work with advanced AI technologies, large-scale data systems, and collaborate with experts across security, compliance, and product teams to deliver transformational solutions.

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.

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Design and implement solutions in one or more specialized Machine Learning (ML) areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
• Design, build, and maintain a scalable platform to support AI-driven Governance, Risk, and Compliance functions.
• Develop and implement AI/ML models and algorithms to automate and scale Continuous Controls Monitoring (CCM), privacy control enforcement, audit processes, risk reporting, and other Governance, Risk, and Compliance workflows.
• Assess data signal quality, and engineer pipelines to ingest and process datasets for training AI models and monitoring control performance.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is…