Senior Software Engineer, ML Deployment Optimization

Google is seeking a Senior Software Engineer to join their Tensor ML Deployment Optimization team, focusing on mobile ML performance for Pixel devices. This role combines cutting-edge machine learning, systems engineering, and hardware optimization to enhance Google's custom Tensor SoC platform.

The position requires deep expertise in both software development and machine learning deployment, with a focus on optimizing performance for mobile and edge devices. You'll work at the intersection of ML frameworks, compilers, and hardware acceleration, leading critical projects that impact Google's strategic partnerships and product performance.

As a technical leader, you'll not only solve complex optimization challenges but also mentor junior engineers and shape best practices for ML deployment. The role offers the opportunity to influence future hardware/software designs and work directly with external partners to improve the broader ML ecosystem.

The ideal candidate brings strong software engineering fundamentals (particularly in C++ and Python), demonstrated experience in ML deployment or systems optimization, and excellent leadership and communication skills. This position offers the chance to work on Google's cutting-edge AI hardware while contributing to the company's mission of organizing the world's information and making it universally accessible.

Working at Google provides exposure to world-class engineering challenges, collaboration with talented peers, and the opportunity to impact billions of users through your work on Pixel devices and the Tensor platform. The role combines technical depth with strategic impact, making it an excellent opportunity for senior engineers passionate about ML optimization and system performance.