Staff Software Engineer, Knowledge Catalog, AI

Google LLC
Sunnyvale, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 301K

Job location

Sunnyvale, United States of America

Tech stack

Artificial Intelligence
Data analysis
Computer Vision
Big Data
Google BigQuery
Data Governance
Dataspaces
Data Structures
Data Warehousing
Software Debugging
Distributed Systems
Design of User Interfaces
Push Technology
Information Retrieval
Language Modeling
Natural Language Processing
Operational Databases
Software Architecture
Systems Development Life Cycle
Rapid Prototyping Process
Software Engineering
Software Systems
SQL Databases
Systems Architecture
Data Processing
Google Cloud Platform
Data Storage Technologies
Large Language Models
Model Validation
Information Technology
Search Engines
Machine Learning Operations
Looker Analytics

Job description

Google's 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. We're 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.

We are seeking hands-on, passionate builders. In this role, you will empower AI agents across industry-leading Google Cloud and third-party data ecosystems, including BigQuery, lakehouses, operational databases, etc. You will tackle highly ambiguous, cutting-edge challenges in context engineering, metadata enrichment, search, personalization, conversational analytics, and large scale catalog infrastructure.

You will drive rapid prototyping and experimentation, touching everything from core platform components to user interfaces and end-to-end agent journeys. You will also lead seamless integrations with flagship products like Gemini Enterprise, Looker, and Conversational Analytics, while working directly with the customers to validate ideas, iterate rapidly, and shape the future of AI-driven data. 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits, * Drive Technical Goal: Generate critical, innovative ideas and own the architectural direction for highly ambiguous problem spaces. You will maintain an approach to coding and system design while setting the standard for engineering excellence.

  • Influence Across Boundaries: Act as a technical multiplier. Navigate complex organizational structures to influence technical decisions and align outcomes across various Google Cloud products and distinct engineering organizations.
  • Shape Strategy and Product: Apply strong product-thinking to technical challenges. Partner closely with Engineering and Product Managers to define the long-term roadmap and ensure our technical capabilities align with customer and business needs.
  • Lead and Elevate: Provide technical guidance, mentorship, and leadership to junior engineers across the team, elevating the overall capability and velocity of the organization.

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.

Requirements

Do you have experience in System design for system development?, Do you have a Bachelor's degree?, * Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision)., * Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and 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 with shipping 0-to-1 AI applications, with a holistic understanding of product, quality, and infra.
  • Knowledge of data warehouses, big data, SQL, and data governance.

Benefits & conditions

Pulled from the full job description

  • Parental leave

  • Health insurance

  • 401(k) matching

  • Paid time off

  • Vision insurance

  • Dental insurance

  • Disability insurance, 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

Apply for this position