Senior Staff Engineer, Cloud Machine Learning Compute Systems

About the position

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. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Advise to optimize machine learning models for speed, memory efficiency, and accuracy through experimentation with different architectures, hyper-parameters, and optimization techniques.
• Accelerate model training and inference by identifying and implementing software and hardware optimizations, which may include profiling code, optimizing data pipelines.
• Improve model performance for specific customer use cases by developing and implementing custom kernels (e.g., CUDA, XLA).
• Showcase a strong understanding of deep learning frameworks such as JAX, including the ability to debug, extend, and optimize them.
• Translate customer requirements into technical solutions by working closely with them to understand their needs.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in optimizing machine learning models.

Nice-to-haves

• Experience writing custom kernels (CUDA, XLA, etc.).
• Excellent programming skills in Python, C/C++.

Benefits

• The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits.