Hiring Now: Staff Software Engineer, Applied Science, Core at

Join a culture of excellence and collaboration. We are looking for a Staff Software Engineer, Applied Science, Core! Based in Remote, this position puts you in a prime location for professional and personal growth. This position requires a strong and diverse skillset in relevant areas to drive success. We believe in rewarding talent. The total rewards package for this role includes a competitive salary.

 

 

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. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects. Experience with compiler analysis, transformations, optimizations, or code generation. Experience in performance analysis and debugging, including for systems that span multiple interconnected hosts. 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 Cloud TPU team builds and supports the Google Cloud Platform (GCP) Cloud TPU service and related Machine Learning (ML) models/frameworks. It provides ML infrastructure customers (both external and internal to Google) with large-scale, cloud-based access to Google's first-party ML supercomputers (TPUs and TPU Pods) to run training and inference workloads using TensorFlow and JAX. The machine learning team is responsible for the ML framework/tools/processes, as well as engagements with customers who are taking advantage of Google's TPUs to achieve massive scale and speed in their ML workloads. The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Responsibilities Help implement the performance metrics for the ML Engagements team and lead the team to improve on these metrics. Communicate results and turn them into actionable improvements within our team or with partner teams. Enable cutting edge ML models at massive scale for computer vision (e.g., image recognition, object detection, image generation), machine translation, language modeling, rankings and recommendations, speech recognition, etc. Help tune ML models for performance on TPUs and GPUs and collaborate with other teams (e.g., hardware, compiler, ML researchers) to improve the flow and results. Collaborate closely with the Google Brain team and other leading research organizations in the industry to continuously bring cutting edge capabilities to our customers. Salary Range: $150K -- $200K Minimum Qualification Systems Architecture & Engineering, Software DevelopmentEstimated Salary: $20 to $28 per hour based on qualifications. Apply Job!

 

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