Software Engineering Manager, Systems Acceleration, Silicon

4 Months ago • 5 Years +
Research Development

Job Description

As a Software Engineering Manager, Systems Acceleration, Silicon, you'll lead a team in optimizing software power and performance for Pixel devices and Google's future System on Chips (SoCs). Responsibilities include optimizing the software stack for Pixel devices, measuring and analyzing power/performance bottlenecks, contributing to software and hardware architecture designs, and growing your team's optimization capabilities. This role requires strong C/C++ skills, experience with hardware accelerators (GPUs, TPUs, DSPs), and a proven track record of technical and people leadership. You will work collaboratively across multiple teams and locations, overseeing large-scale project deployments internationally.
Good To Have:
  • Master's/PhD in CS or related field
  • ML model building and optimization
  • Power/performance measurement and optimization experience
  • Embedded system software stack experience
  • Android software/hardware architecture understanding
  • SoC architecture understanding
Must Have:
  • 5+ years software development (C/C++, data structures/algorithms)
  • 1.5+ years leadership experience
  • Hardware/accelerator experience (GPU, TPU, DSP)
  • Software power/performance optimization
  • Team management and growth
  • Collaboration across teams

Add these skills to join the top 1% applicants for this job

algorithms
data-structures
budget-management
networking
user-interface


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in C/C++ and data structures/algorithms.
  • 1.5 years of experience in a leadership role (technical leadership or people management, supervision, or team leadership).
  • Experience working with hardware and accelerators (e.g. GPU, TPU, DSP).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • Experience in building and optimizing Machine Learning (ML) models.
  • Experience in power and performance measurement and optimization.
  • Experience building embedded system software stack.
  • Understanding of android software and hardware architectures.
  • Understanding of SoC Architecture.

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.

As a Software Engineering Manager, you will focus on software power and performance optimization for the SoCs, and work with people from different teams and functions.

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

  • Optimize software stack for Pixel devices to deliver the best user experiences.
  • Measure power and performance of Pixel software and analyze the bottleneck.
  • Contribute to the software and hardware architecture designs for Google’s future System on a Chips (SoC) and software features.
  • Grow and lead a team that is capable of optimizing Pixel software.

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