Staff Software Engineer, Cloud HPC Machine Learning Networking

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 C language, Machine Learning, and Networking Protocols. 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 a complex, matrixed organization involving cross-functional, or cross-business projects. Experience with C++, Device Drivers, Networking, High Performance Computing, and Remote Direct Memory Access. 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. Salary Information:

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( https://careers.google.com/benefits/ ). Key Responsibilities: Identify opportunities for networking to add value to the machine learning pipeline, both training and inference, and other HPC applications. Lead efforts optimizing High Performance Computing (HPC) and Machine Learning (ML) performance on Google Cloud platforms (GCP's) infrastructure. This spans a wide range, from kernel optimization, user-space communication libraries, like lib-fabric, all the way to customer's HPC and machine learning applications. Build up solutions on Google Cloud Platforms (GCP's) new hardware capabilities. 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

https://careers.google.com/eeo/

and

https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

https://goo.gl/forms/aBt6Pu71i1kzpLHe2 .

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