Senior Software Engineer, AI/ML GenAI, Google Cloud Compute

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Senior Software Engineer, AI/ML GenAI, Google Cloud Compute

Google

174,000–253,000 / Year

Location

Seattle, WA, USA

Experience

Senior

Posted

Jul 18, 2026

Apply by

August 17, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Job Description

info_outline XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 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/year (increased to 69 hours/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 Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience programming in Python or C++. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 3 years of experience testing, maintaining, or launching software products. 1 year of experience with software design and architecture. 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies. 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. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Key Responsibilities

  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews.
  • Contribute to existing documentation or educational content.
  • Triage product or system issues and debug or track problems.
  • Design and implement GenAI solutions leveraging ML infrastructure.
  • Evaluate tradeoffs between different techniques and their application domains.

Requirements

  • Bachelor's degree or equivalent practical experience

Skills Required

PythonC++ML infrastructureModel deploymentModel evaluationOptimizationData processingDebuggingSoftware designArchitectureGenAI techniquesLLMsMulti-Modal modelsLarge Vision ModelsLanguage modelingComputer visionCollaborationLeadershipProblem solvingData structuresAlgorithmsTechnical leadershipAccessible technologies

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • 401(k) with company match
  • 20 days of vacation per year
  • 40 hours sick time per year
  • 28-30 weeks maternity leave
  • 18 weeks baby bonding leave
  • 13 paid holidays per year
  • 15% bonus target
  • Equity

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