Staff Software Engineer, Knowledge Catalog, AI

About the role

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.

Responsibilities

• Drive Technical Goal: Generate critical, innovative ideas and own the architectural direction for highly ambiguous problem spaces.
• 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.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 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).

Qualifications

• 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.

Skills

• Experience with shipping 0-to-1 AI applications, with a holistic understanding of product, quality, and infra.
• 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).
• Experience with data structures and algorithms.
• Experience with data warehouses, big data, SQL, and data governance.

Benefits

• Health, dental, vision, life, disability insurance.
• Retail 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.

Pay

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Schedule

Not specified