Senior AI/ML Software Engineer, Cloud Compute

Google Inc.; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Job summary

Google Sunnyvale, CA seeks a Senior Software Engineer specializing in AI/ML for Google Cloud Compute. You will design, develop, and test software across large-scale systems, with opportunities to lead in ML areas and contribute to a broad product portfolio.

The role emphasizes collaboration, code reviews, and advancing ML infrastructure. In-person interviews are commonly part of the process, with equity and benefits typical for Google roles.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products; 1 year in software design/architecture.
• 3 years of experience with one or more ML areas: speech/audio, RL, ML infrastructure, or related field.
• 3 years of experience with ML infrastructure: deployment, evaluation, data processing, debugging.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers through design and code reviews to ensure best practices and code quality.
• Contribute to documentation and adapt content based on product updates and user feedback.
• Triage and debug product or system issues affecting hardware, network, or service quality.
• Design and implement ML solutions, leverage ML infrastructure, and demonstrate expertise in a field.

Skills

Python

C++

Software design & architecture

ML algorithms & infrastructure

Leadership (technical)

Data structures & algorithms

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS or related field

Job description

Google Sunnyvale, CA seeks a Senior Software Engineer specializing in AI/ML for Google Cloud Compute. You will design, develop, and test software across large-scale systems, with opportunities to lead in ML areas and contribute to a broad product portfolio.

The role emphasizes collaboration, code reviews, and advancing ML infrastructure. In-person interviews are commonly part of the process, with equity and benefits typical for Google roles.