Senior Software Engineer, AI/ML

• Learn new technical domains by combining a deep knowledge of Google's expansive software stack with AI-assisted research to quickly propose and implement innovative technical solutions. 
• Build scalable AI-powered solutions horizontally across Google while delving deeply into external systems to proactively assist other teams with their most complex challenges.
• Help the team strategically identify game-changing problem spaces, dynamic pursuing and contributing proposals for opportunities that maximize our overall impact. 
• Contribute to a collaborative, ambitious culture that confidently tackles the impossible and constantly questions the strict technical boundaries.
• Guide junior engineers and lead focused strike teams by setting clear technical direction, providing vital support to ensure both their rapid professional growth and overall outcome success.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., C++, Go or Java).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience designing, building, and maintaining infrastructure.
• Experience designing, developing, and deploying artificial intelligence (AI) models or machine learning algorithms.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures and algorithms.
• Experience applying AI to solve software engineering problems, with a background or strong interest in agentic software development (LLMs, code generation, etc.).
• Experience in driving significant operational efficiencies (e.g., compute, storage, latency) and structural software improvements (e.g., code quality, testing speed) in production, brown-field systems.
• Experience designing, building, maintaining, optimizing, and debugging large-scale, high-performance distributed production systems (e.g., replicated state machines, database systems, networking, or storage).

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., C++, Go or Java).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience designing, building, and maintaining infrastructure.
• Experience designing, developing, and deploying artificial intelligence (AI) models or machine learning algorithms.