Staff Software Engineer - AI-Driven Ads at Scale

Google LLC; Mountain View, Kirkland (CA, WA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid vacation 20 days

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google LLC in Mountain View, CA, is seeking a Staff Software Engineer for Google Ads to lead architecture and deliver scalable ad-tech solutions. You will mentor engineers and collaborate with Research/DeepMind on AI-driven insights across the ads stack.

Candidates should have 8+ years in software development, and a proven track record in testing and launching products, with strong experience in advertising platforms and large-scale systems.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years of testing and launching software products.
• 3 years of software design and architecture.
• Master’s degree or PhD in Engineering, CS, or related technical field.
• Experience with advertising platforms.

Responsibilities

• Provide technical leadership on high-impact Google Ads projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Skills

Software development

Technical leadership

System design

Advertising platforms experience

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS or related field

Job description

Google LLC in Mountain View, CA, is seeking a Staff Software Engineer for Google Ads to lead architecture and deliver scalable ad-tech solutions. You will mentor engineers and collaborate with Research/DeepMind on AI-driven insights across the ads stack.

Candidates should have 8+ years in software development, and a proven track record in testing and launching products, with strong experience in advertising platforms and large-scale systems.