Senior Engineering Manager, ML Accelerators

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 optimize your own code and ensure 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 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.

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.

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.