Staff Software Engineer, Core Machine Learning

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.
• 5 years of experience building and developing wide-reaching infrastructure, distributed systems, or networks.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
• Experience with C, C++, Network Infrastructure, Network Bridge, Network Switches, Networking Hardware, ASIC, and Transceivers.
• Experience with Machine Learning Optimization, Machine Learning Infrastructure and Leadership.
• Experience in model optimization (e.g., pruning, quantization).

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Responsibilities:

• Develop high performance tools and techniques for Machine Learning workloads and frameworks through automation, dashboarding and increased developer velocity.
• Work closely with other engineering teams to collaborate, reuse and understand existing frameworks.
• Increase efficiency of ML workloads through co-designed algorithmic and system level techniques (e.g., quantization, sparsity).
• Work closely with the Engineering Manager in planning, leading and growing a team of ML software engineers.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.#J-18808-Ljbffr