Location: Sunnyvale, CA
Company: Google
our customers and go out of your way to enable our customers to succeed. 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 $271,000-$399,000 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: 15 years of experience as an Engineering leader. Experience with CPU,
GPU, or TPU architecture. Experience with XLA, MLIR, or similar infrastructure for building high-performance compilers.
Preferred qualifications: Expertise in reasoning and quantifying relative impacts and risks of technical work that could require the involvement of engineers. Technical expertise in systems and software with the leadership skills to influence technical leaders across the company. Ability to quickly ramp up in new subject areas with short notice to guide a few weeks of mission-critical research into the largest potential risks related to infrastructure usage. Knowledge of compiler internals and optimization techniques. - Develop high-performance infrastructure for analyzing, evaluating, and deploying high-performance techniques to ML workloads.
- Performance analysis of LLM training and serving models to identify performance inefficiencies across the software stack on TPUs and GPUs. - Increase efficiency of ML workloads through co-designed algorithmic and system level techniques (e. g. quantization, sparsity). - Develop high-performance tools and techniques for Machine Learning workloads and frameworks through automation, dashboarding, and increased developer velocity. - Participate in hardware-software co-design activities for the upcoming generation of TPUs that are potentially specialized to LLMs.
Requisition #: 137956014348477126pca3lyuhf
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.
