Senior Staff Software Engineer, AI/ML, Google Cloud

Google; Seattle (WA); On-site; USD 262,000 - 365,000; Full time

Benefits offered by this job

Health, dental, vision, life, disability insurance

401(k) with company match

20 days of vacation per year

40 hours sick time per year

Maternity and bonding leave

Job summary

Google is seeking experienced software engineers in Seattle to develop next-generation technologies that reshape how billions of users interact with information. With ample opportunities for leadership and project variety, you will tackle critical Google needs while empowering customers through AI and Infrastructure.

Successful candidates will have extensive experience with software development, ML design, and project management, working on impactful solutions across multiple platforms. Google offers competitive compensation, including salaries from $262,000 to $365,000, plus bonuses and benefits.

Qualifications

• 8 years of experience in software development.
• 7 years leading technical project strategies, especially in ML.
• 5 years experience with design and testing of software products.

Responsibilities

• Design, develop, test, deploy, and maintain large-scale software solutions.
• Provide technical leadership on high-impact projects.
• Drive technical project strategy and lead ML infrastructure optimization.

Skills

Software development

Machine Learning (ML) design

Technical leadership

Data structures/algorithms

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in related fields

Job description

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours per year (increased to 69 hours per year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Sunnyvale, CA, USA.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with design and architecture; and testing/launching software products.
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large‑scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast‑paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full‑stack as we continue to push technology forward.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We’re the driving force behind Google's groundbreaking innovations, empowering the development of our cutting‑edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world‑leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262,000 – $365,000 (USD) + 25% bonus target + equity + benefits

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large‑scale software solutions.
• Provide technical leadership on high‑impact projects. Manage project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
• Drive technical project strategy, lead large‑scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.