Senior Software Engineer, Machine Learning, Google Cloud TPU Full-time

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with performance, systems data analysis, visualization tools, or debugging.
• Experience in Machine Learning systems (e.g., background theory, TensorFlow, and other tools).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.
• Experience in architecture analysis, system architecture, performance modeling, or similar.
• Experience in Machine Learning inference workload optimization (e.g., quantization, distillation, sharding).
• Experience with performance analysis and debugging, improving performance of single-node or multi-node distributed systems.
• Ability to develop automatic tools and frameworks to be deployed at scale within the ML fleet.

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.

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

• Participate in Machine Learning Performance Inference submissions.
• Prepare and optimize reference models demonstrating SOTA inference solutions.
• Develop optimization automation and libraries for improving latency for ML models on cloud and make them available to GCP users.
• Collaborate with the ML research, ML performance, model optimization tooling, and other optimization teams.