Engineering Manager, Silicon

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering or equivalent practical experience.
• 8 years of experience with compilers (e.g., optimization, parallelization, etc.) or ML (optimization, SDK etc.).
• 3 years of experience in managing a team.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related field.
• Experience optimizing ML models for inference.
• Experience developing developer tools and Software Development Kits (SDKs) in the context of accelerator-based architectures.
• Experience compiling for heterogeneous architectures across Internet Protocol (IPs), including but not limited to Central Processing Unit (CPU), Graphics Processing Unit (GPU) and Neural Processing Unit (NPUs).
  

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.In this role, you will join the Developer Experience team to enhance the developer journey across all EdgeTPU (Tensor Processing Unit) offerings, which include embedded ML accelerators powering applications from smartphones from to data centers.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

• Analyze and improve developer tools quality and performance on optimization decisions, correctness and performance as part of the EdgeTPU developer experience team.
• Design end-to-end customer user journeys to execute Machine Learning (ML) workloads on the EdgeTPU in a seamless manner.
• Collaborate with cross-functional teams to develop efficient workflows that deliver an excellent user experience.
• Partner with ML model developers, researchers, and EdgeTPU hardware/software teams to accelerate the transition from research ideas to exceptional user experiences on the EdgeTPU.
• Lead a team of engineers.
  

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 .