Google Cloud AI is seeking a Senior Software Engineer to join their AI/ML GenAI team, focusing on cutting-edge artificial intelligence solutions. This role combines software engineering expertise with specialized knowledge in generative AI and machine learning infrastructure. The position offers an opportunity to work on projects that impact billions of users while pushing the boundaries of AI technology.
The role is part of the Google Cloud AI Research team, which tackles AI challenges across various industries including healthcare, finance, and retail. Team members work on unique problems that advance the state-of-the-art in AI while collaborating with product teams to bring innovations to market. The position requires strong software development skills, experience with GenAI techniques like LLMs and Multi-Modal models, and expertise in ML infrastructure.
As a senior engineer, you'll be responsible for designing and implementing GenAI solutions, writing production-grade code, and working with cross-functional teams. The role offers competitive compensation ($166,000-$244,000 base salary plus benefits and equity) and the opportunity to work at Google's offices in either Sunnyvale, CA or Kirkland, WA.
The ideal candidate will have at least 5 years of software development experience, with 3 years specifically in GenAI and ML infrastructure. You'll be part of a team that values technical leadership, accessibility, and innovation. This is an excellent opportunity for someone passionate about AI research and development who wants to make a real-world impact while working with industry-leading technology and talented colleagues.
Google offers a comprehensive benefits package and maintains a strong commitment to diversity, equity, and inclusion. The company culture promotes collaboration, continuous learning, and the opportunity to work on challenging problems that affect users globally. If you're excited about advancing the field of AI while building practical solutions for enterprise customers, this role offers the perfect blend of research and applied engineering.