Senior Embedded AI/ML Engineer

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google’s software engineering team is seeking a candidate to help build next‑gen technologies at massive scale. The role emphasizes developing and deploying software across ML, AI, and distributed systems, with opportunities to switch projects as needs evolve.

The team values collaboration, code reviews, documentation, and thoughtful design to support growth and leadership across projects in Mountain View.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).
• 2 years of experience in embedded systems.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing sources of issues and impact on hardware, network, or service operations.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Skills

Software development

Testing & QA

ML infrastructure

Embedded systems

Speech/audio ML

Reinforcement learning

ML deployment

Education

Bachelor's degree or equivalent

Master's degree

Job description

Google’s software engineering team is seeking a candidate to help build next‑gen technologies at massive scale. The role emphasizes developing and deploying software across ML, AI, and distributed systems, with opportunities to switch projects as needs evolve.

The team values collaboration, code reviews, documentation, and thoughtful design to support growth and leadership across projects in Mountain View.