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

About this kind of role

What a Senior Staff Software Engineer, AI/ML GenAI, Google Cloud Compute Infrastructure usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and maintains complex software systems, often focusing on high-performance computing and infrastructure for artificial intelligence and machine learning applications. This role involves collaborating with cross-functional teams to define technical specifications, implement solutions, and ensure scalability and reliability. Responsibilities frequently include performance optimization, troubleshooting production issues, and contributing to architectural decisions. Senior staff engineers often mentor junior engineers and lead technical initiatives.

Tools and skills: Proficiency in programming languages like Python, Java, or C++, experience with cloud platforms (particularly Google Cloud Platform), knowledge of machine learning frameworks (TensorFlow, PyTorch), and strong understanding of distributed systems and infrastructure is generally expected.

Good fit for: Individuals with extensive software engineering experience and a passion for building robust, scalable systems that support advanced AI and machine learning workloads thrive in this role.