Location: Sunnyvale, CA
Company: Google
As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.
Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of
large-scale projects across multiple sites internationally. Cloud HPC ML Networking is responsible for innovations and optimizations of the networking stack to make Machine Learning High Performance Computing (HPC) workload performant on Google Cloud Platform (GCP) and in Google production.
Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. 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. The US base salary range for this full-time position is $231,000-$339,000 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 for new hire 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. Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e. g. Python, C, C , Java, Java Script). 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role. Experience with Networking Protocols, Linux, Machine Learning Infrastructure, and High Performance Computing (HPC).
Preferred qualifications: Experience with NCCL, MPI, Libfabric, RDMA, TCP/IP, Performance. - Lead the team in boosting networking performance for Machine Learning and HPC applications in Google Cloud and production. - Work across teams/organizations to identify new opportunities for the team to utilize their expertise to help increase applications' throughput and efficiency. - Develop team members, and foster an inclusive and impact driven culture. - Enhance or build internal and external partnerships with core Machine Learning, Deepmind, GPU vendors, etc. Requisition #: 84958079742812870pca3lyuhf
Engineering jobs encompass roles that involve applying scientific and mathematical principles to design, develop, and maintain structures, machines, materials, systems, and processes. These positions are characterized by innovation, problem-solving responsibilities, and the need for technical expertise. Engineers can specialize in various fields such as civil, mechanical, electrical, chemical, and software, among others. They are essential in shaping the infrastructure of the modern world, formulating solutions to complex challenges, and driving technological advancement. Engineering roles often require a strong educational background combined with practical experience, and they stand out for their contribution to societal progress and potential for career growth.
Engineering jobs encompass a variety of roles focused on designing, developing, and maintaining systems or structures. These positions often require strong problem-solving skills, technical expertise, and a solid foundation in mathematics and science. Engineers typically work in fields such as civil, mechanical, electrical, chemical, or software engineering. The unique characteristic of engineering jobs lies in their blend of creativity and practicality, as engineers innovate while ensuring functionality and safety. With the ongoing advancement of technology, engineering roles are also evolving, demanding continuous learning and adaptation.
Engineering jobs encompass various roles focused on designing, developing, and maintaining structures, machines, devices, systems, and materials. These positions require a strong foundation in STEM (Science, Technology, Engineering, Mathematics) and often involve problem-solving, creativity, and technical expertise. Typical engineering disciplines include civil, mechanical, electrical, and chemical engineering, among others. Engineers work in diverse industries, from automotive to aerospace, construction to computing. Characteristics of engineering jobs include a blend of theoretical knowledge and practical application, a commitment to safety and efficiency, and the likelihood of collaborating across multidisciplinary teams.
Engineering jobs encompass various roles focused on designing, developing, and maintaining structures, machines, devices, systems, and materials. These positions require a strong foundation in STEM (Science, Technology, Engineering, Mathematics) and often involve problem-solving, creativity, and technical expertise. Typical engineering disciplines include civil, mechanical, electrical, and chemical engineering, among others. Engineers work in diverse industries, from automotive to aerospace, construction to computing. Characteristics of engineering jobs include a blend of theoretical knowledge and practical application, a commitment to safety and efficiency, and the likelihood of collaborating across multidisciplinary teams.
