GenAI Maps Software Engineer - Build Geospatial AI

Socket.dev; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google's Geo team in Mountain View is hiring software engineers to build and evolve our maps and related platforms, tackling large-scale systems, data storage, and AI-driven features. You will participate in end-to-end design, coding, reviews, and documentation to ship robust map-related capabilities.

The role focuses on software engineering, GenAI integration, and ML-driven optimization within a fast-moving, multi-disciplinary environment. Competitive pay and benefits apply.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of software development experience or 1 year with an advanced degree.
• 1 year of ML infrastructure experience.
• Experience with GenAI techniques such as LLMs or vision models.
• Experience with computational geometry algorithms and spatial data structures.

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Bachelor's degree

Software dev experience

ML infrastructure

GenAI technologies

Computational geometry

Education

Bachelor's degree or equivalent

Master's degree or PhD (preferred)

Job description

Google's Geo team in Mountain View is hiring software engineers to build and evolve our maps and related platforms, tackling large-scale systems, data storage, and AI-driven features. You will participate in end-to-end design, coding, reviews, and documentation to ship robust map-related capabilities.

The role focuses on software engineering, GenAI integration, and ML-driven optimization within a fast-moving, multi-disciplinary environment. Competitive pay and benefits apply.