Senior Software Engineer, Compilers, PyTorch for Alphabet at Google
Sunnyvale, TX 75182
About the Job
Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages, and with data structures/algorithms.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.Experience with compilers or ML compilers.Experience working on or maintaining PyTorch.Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience.1 year of experience in a technical leadership role.Experience developing accessible technologies
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 Core ML organization is part of Google Cloud and drives ML excellence for Google
Core ML is responsible for creating a cohesive, well lit path for machine learning at Google
The organization is also responsible for developing ML infrastructure and execution around key ML efforts within Google.PyTorch for Alphabet is a new and exciting area of investment for Core ML, which aims to bring one of the world’s most successful open source ML technologies to Google customers
In this role, you’ll partner closely with machine learning teams across Google, work with amazing open source technologies, and be a part of the formation of a dynamic new organization.Google Cloud accelerates every organization’s ability to digitally transform its business and industry
We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably
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 $161,000-$239,000 + 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
Responsibilities Collaborate with the ML Frameworks team to democratize top open source ML technology.Participate in coding and design of low-level ML frameworks and compiler technologies.Directly engage with ML research and production teams across Alphabet.Participate and interact with the external PyTorch and open source ecosystems and communities.
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 Core ML organization is part of Google Cloud and drives ML excellence for Google
Core ML is responsible for creating a cohesive, well lit path for machine learning at Google
The organization is also responsible for developing ML infrastructure and execution around key ML efforts within Google.PyTorch for Alphabet is a new and exciting area of investment for Core ML, which aims to bring one of the world’s most successful open source ML technologies to Google customers
In this role, you’ll partner closely with machine learning teams across Google, work with amazing open source technologies, and be a part of the formation of a dynamic new organization.Google Cloud accelerates every organization’s ability to digitally transform its business and industry
We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably
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 $161,000-$239,000 + 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
Responsibilities Collaborate with the ML Frameworks team to democratize top open source ML technology.Participate in coding and design of low-level ML frameworks and compiler technologies.Directly engage with ML research and production teams across Alphabet.Participate and interact with the external PyTorch and open source ecosystems and communities.
