Staff Software Engineer, Machine Learning Performance

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experience with performance analysis or hardware architecture.

Preferred Qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in an organization involving cross-functional or cross-business projects.
• Knowledge of Machine Learning workloads.

About The Job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The On-Device Performance team is part of the Core Machine Learning (ML) product area, with a mission of driving ML for Google. The team provides the performance that powers on-device ML experiences across audio and Generative AI domains on mobile, web, and edge. The team also builds inference on GPU and CPU deployed across most first-party and third-party mobile applications, enabling a broad range of Google products at scale.

Responsibilities

• Collaborate with the team to develop cross-platform, on-device Machine Learning solutions and deliver positive experiences and product features for YouTube Shorts, Google Meet, Shopping, Photos, Android, Pixel, and more.
• Extend architecture to support new CPUs, DSP, or GPUs.
• Leverage next-generation ODML technology to optimize ML workloads on diverse hardware.
• Productionize generative AI algorithms and drive business use cases for products.
• Partner with cross-functional product and research teams to land innovative ML-enabled features for applications.

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