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

Google Cloud AI is seeking a Senior Software Engineer to join their innovative team working on cutting-edge AI and machine learning technologies. This role offers an exciting opportunity to work at one of the world's leading tech companies, developing next-generation AI solutions that impact billions of users globally.

The position is part of the Google Cloud AI Research team, which tackles complex AI challenges across various industries including technology, healthcare, finance, and retail. You'll be working on unique problems that push the boundaries of AI technology while collaborating with both research and product teams to bring innovations to life.

As a Senior Software Engineer, you'll be responsible for designing and implementing GenAI solutions, working with state-of-the-art techniques such as Large Language Models (LLMs), Multi-Modal systems, and Large Vision Models. The role requires strong software development skills combined with deep expertise in machine learning infrastructure and GenAI concepts.

The compensation package is highly competitive, with a base salary range of $166,000-$244,000, plus additional benefits including bonus, equity, and comprehensive healthcare coverage. You'll have the opportunity to work from either Sunnyvale, CA or Kirkland, WA, collaborating with some of the brightest minds in the industry.

This role is perfect for someone who combines strong software engineering fundamentals with specialized knowledge in AI/ML. You'll need at least 5 years of software development experience and 3 years of experience with GenAI techniques and ML infrastructure. The position offers significant growth potential and the chance to make a real impact on the future of AI technology.

Working at Google means being part of a culture that values innovation, technical excellence, and collaboration. You'll have access to vast resources and the opportunity to contribute to projects that shape the future of technology. The role offers a balance of technical challenges and practical application, making it ideal for engineers who want to push the boundaries of what's possible with AI while delivering real-world solutions.