.. Reimbursement Premium Pay Packages CEU Reimbursements Daily Per Diems Travel Reimbursements Rental Car Allowances Continuing Education Resources Referral Bonus And Many More! THE ANDERS DIFFERENCE You're committed to providing exceptional healthcare. We're committed to you. Anders Group was founded by .. read more
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Sunnyvale, CA, USA . Minimum qualifications:
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience with software development in one or more programming languages, and with data structures/algorithms. 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role. 5 years of experience with computer architecture and performance.
Preferred qualifications:
Master’s or PhD degree in Engineering, Computer Science, or a technical related field. 5 years of experience working in a complex, matrixed organization. 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). Experience with hardware design, architecture, and engineering. Experience with chip design, simulation or benchmarking.
About the job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. 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.
In this role, you will work with a team to explore the silicon design space, as well as enabling others to more effectively tune for existing hardware.
You will collaborate closely with researchers to understand the future of ML workloads, and translate those insights into potential hardware architectures. Through advanced simulations and performance projections, you will evaluate and refine chip design concepts, paving the way for the next generation of efficient, powerful ML hardware.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 $237,000-$337,000 + 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 .
Responsibilities
Lead the exploration of the silicon design space for future ML hardware, collaborating with research teams to understand future workload requirements and support hardware engineering teams in translating them into potential chip architectures. Develop and implement robust processes, infrastructure, and analysis methodologies for evaluating ML workloads on distributed and heterogeneous systems. Utilize advanced simulation and modeling techniques to evaluate and refine pre-silicon chip designs, identifying promising avenues for future hardware development. Drive efficiency improvements in ML workloads through co-designed algorithmic (ML model) and system-level techniques and maintain objectivity and analytical precision in assessing performance of different design parameters for chips, systems, and ML model architectures. Lead and inspire a team of engineers, fostering a culture of collaboration, innovation, and technical excellence.
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
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience with software development in one or more programming languages, and with data structures/algorithms. 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role. 5 years of experience with computer architecture and performance.
Preferred qualifications:
Master’s or PhD degree in Engineering, Computer Science, or a technical related field. 5 years of experience working in a complex, matrixed organization. 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). Experience with hardware design, architecture, and engineering. Experience with chip design, simulation or benchmarking.
About the job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. 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.
In this role, you will work with a team to explore the silicon design space, as well as enabling others to more effectively tune for existing hardware.
You will collaborate closely with researchers to understand the future of ML workloads, and translate those insights into potential hardware architectures. Through advanced simulations and performance projections, you will evaluate and refine chip design concepts, paving the way for the next generation of efficient, powerful ML hardware.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 $237,000-$337,000 + 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 .
Responsibilities
Lead the exploration of the silicon design space for future ML hardware, collaborating with research teams to understand future workload requirements and support hardware engineering teams in translating them into potential chip architectures. Develop and implement robust processes, infrastructure, and analysis methodologies for evaluating ML workloads on distributed and heterogeneous systems. Utilize advanced simulation and modeling techniques to evaluate and refine pre-silicon chip designs, identifying promising avenues for future hardware development. Drive efficiency improvements in ML workloads through co-designed algorithmic (ML model) and system-level techniques and maintain objectivity and analytical precision in assessing performance of different design parameters for chips, systems, and ML model architectures. Lead and inspire a team of engineers, fostering a culture of collaboration, innovation, and technical excellence.
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