The Embedded Systems Senior Software Engineer role at Google Labs focuses on developing innovative technologies in AI and machine learning. The team is dedicated to incubating early-stage efforts that enhance Google's core products and user interactions. Engineers in this position will work on critical projects, leveraging their expertise in embedded systems and machine learning. The role requires versatility and a willingness to tackle new challenges across the technology stack.

• 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.
• 1 year of experience with software design and architecture.
• 3 years of experience with speech/audio technology, reinforcement learning, or ML infrastructure.
• 2 years of experience in embedded systems.

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews.
• Contribute to existing documentation and adapt content based on updates.
• Triage product or system issues and debug or resolve them.
• Design and implement solutions in specialized ML areas.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.