Senior Software Engineer, AI/ML, Google Kubernetes Engine

Google; Kirkland (WA); On-site; USD 166,000 - 244,000; Full time

Job summary

A leading technology company is seeking an AI/ML Software Engineer to work closely with the Google Kubernetes Engine team. The role involves developing innovative solutions and enhancing customer experience through AI/ML strategies. Candidates should have a strong background in software development, cloud computing, and machine learning. This position offers a competitive salary and opportunities for growth within a dynamic environment.

Qualifications

• 5 years of experience in software development.
• 3 years of experience in containerization technologies.

Responsibilities

• Write and test product or system development code.
• Participate in design reviews with peers and stakeholders.
• Drive closure of technical blockers for customers.

Skills

Software Development

Data Structures

Algorithms

Machine Learning

AI Algorithms

System Design

Education

Bachelor's degree

Master's degree

PhD in Computer Science

Tools

Google Kubernetes Engine

Distributed Cloud Computing

Visualization Tools

Job description

• link Copy link

corporate_fare Google place Kirkland, WA, USA ; Seattle, WA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply

• link Copy link

info_outline

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

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
  
• 5 years of experience in distributed cloud computing, including 3 years of experience in containerization and container orchestration technologies such as Google Kubernetes Engine.
• 3 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• 3 years of experience building and shipping technical products. Experience with the domain area of Generative AI and Large Language Models (LLM).
• Experience with machine learning algorithms, machine learning, AI algorithms, coding, system design, software development.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• 1 year of experience in a technical leadership role.
  

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.

As an AI/ML Software Engineer, you will be working closely with the Google Kubernetes Engine (GKE) team to get a horizontal view of the way customers use the product and using that experience to help customers and GKE evolve to using more AI/ML strategies in its solution/design philosophy.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Write and test product or system development code.
  
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  
• Drive closure of technical blockers, removing resistance for customers to use GKE.
• Serve as a triage point for selected AI/ML customer's issues using GKE.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.