Principal Engineer, AI Systems Knowledge and Intelligence Engine Google - 4.3 Sunnyvale, CA Job Details Full-time $307,000 - $427,000 a year 2 hours ago Benefits Paid holidays Disability insurance Health insurance Dental insurance Paid time off Parental leave Vision insurance 401(k) matching Qualifications AI models Software engineering AI platforms (beyond public GPTs) Machine intelligence Developing large-scale AI models Machine learning (ML) fundamentals Full Job Description 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

Note:

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

Minimum qualifications:

Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience. 15 years of experience as a software engineer or research scientist. Experience with large-scale Machine Learning infrastructure, ML or AI for products, or related fields.

Preferred qualifications:

Advanced degree in Engineering, Computer Science, or Mathematics. Experience in software engineering research, particularly using AI/ML. Experience delivering complex projects with a bias to action and motivating others at all levels by creating a shared outlook and purpose. Blend of GenAI at model layer and large-scale software development experience with expertise across Research and Applied ML for code domain. Understanding of computing, data centers, enterprise software, and hardware infrastructure. High-degree of cross-organizational collaboration and coordination in a rapidly evolving space like GenAI. About the job In this role as Uber Technical Lead for AI Systems Knowledge and Intelligence Engine (ASKIE), you will define the technical roadmap for improving Agentic AI quality outcomes, driving AI adoption, and guiding key workstreams around building capabilities that address software engineering modernization at Google-scale. You will drive the technical outlook and execution of our ASKIE Strategy, and ensure alignment with broader company goals. The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US:

$307000 - $427000 (USD) + 30% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Drive the technical outlook of the ASKIE strategy, ensuring alignment with Google-wide goals, and making agentic software development a reality at Google-scale. Create and evaluate the safety guardrails that enable Google to rapidly adopt GenAI for a broad range of Software Development without the risk of IP exfiltration, system outages, or dilution in code quality. Set standards for measurement and telemetry of data across various aspects of the SDLC, and influencing Finance and other stakeholders across the company on measuring the efficacy of AI adoption. Collaborate with senior leaders across Core and Google to discover new opportunities and best practices for applying GenAI technologies. Represent Google in various academic and industry forums, raising the bar industry-wide for transforming software development through AI. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.