Google Looking For DSP Architecture and Performance Architect, Devices and Services at Mountain View, CA Full Time

Minimum qualifications:
Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science (focusing on DSP, computer architecture, or artificial intelligence/machine learning), or equivalent practical experience.

Experience in any IP’s architecture and microarchitecture (DSP, ISP, CPU, GPU, accelerator) and subsystem integration at architectural and RTL levels.

Experience in performance analysis and workload characterization on vector engines.

Preferred qualifications:
PhD in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing on DSP, computer architecture, or artificial intelligence/machine learning.

7 years of industry experience.

Experience on power optimization for any compute cores.

Experience with DSP/ML workloads in any specific related area, such as camera, video or audio.

About the job

As a DSP architecture and performance architect, you’ll be the key contributor to improving the DSP subsystem and delivering Google’s advanced hardware products. You’ll have the opportunity to collaborate with system performance and software teams to plan and conduct workload performance analysis and project performance at various design phases.

Leveraging your DSP-specific knowledge and leadership, you’ll be guiding other DSP architects and working with engineers in power, thermal, security, physical design, and other subsystem teams on the DSP subsystem configuration, features, and integration.

Google’s mission is to organize the world’s information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people’s lives better through technology.

Responsibilities

Collaborate with Software teams to port and characterize DSP workloads.

Project, analyze, and debug pre-silicon and post-silicon end-to-end application performance.

Define and write DSP subsystem architecture specifications.

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 this form.