Software Engineer III, Google Cloud AI

Google Cloud AI is seeking a Software Engineer III to join their ML, Systems, & Cloud AI (MSCA) organization. This role is critical in designing, implementing, and managing the hardware, software, machine learning, and systems infrastructure that powers Google's services and Google Cloud platform.

The position offers an opportunity to work on cutting-edge technologies that impact billions of users worldwide. You'll be involved in developing solutions for Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. The role combines software engineering expertise with machine learning infrastructure development.

As a Software Engineer III, you'll be responsible for writing production code, leading design reviews, and ensuring best practices in code quality and system reliability. You'll work with a team of talented engineers to build and maintain scalable systems that handle information at massive scale. The role requires strong technical skills in software development, system design, and problem-solving.

The position offers competitive compensation with a base salary range of $141,000-$202,000, plus additional benefits including bonus, equity, and comprehensive benefits package. Google provides a collaborative environment where engineers can grow and tackle challenging technical problems while making a significant impact on the company's AI infrastructure.

This role is ideal for candidates with strong software engineering fundamentals and an interest in machine learning systems. You'll have the opportunity to work on projects critical to Google's needs, with flexibility to switch teams and projects as you grow. The position requires a bachelor's degree (or equivalent experience) and at least 2 years of software development experience.

Google's commitment to innovation, scale, and technical excellence makes this an exciting opportunity for engineers looking to work on next-generation AI technologies. The role offers significant growth potential and the chance to work on projects that shape the future of cloud computing and artificial intelligence.