Senior Software Engineering Manager, EdgeTPU, Compiler, Silicon
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Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience with software development.
- 8 years of experience with compilers (e.g., optimization, parallelization, etc.).
- 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
- Experience in C++ programming.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- Experience in MLIR or LLVM.
- Experience in optimizing ML models for inference.
- Experience compiling for heterogeneous architectures across IPs, including but not limited to CPU, GPU, and NPUs.
- Experience in compiler development, particularly with accelerator-based architectures, vector instruction optimizations, or vectorizing compilers.
- Experience running a large program, or several projects simultaneously.
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.
EdgeTPU is a family of embedded machine learning (ML) accelerators that are geared toward a broad set of applications. The compiler team is responsible for analysis, optimization, and compilation of ML models for the EdgeTPU.
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.
The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 a team of engineers on multiple sites and teams to triage customer issues, incorporate learnings in the next generation of hardware, and make software through scalable design.
- Develop parallelization and scheduling algorithms to optimize compute and data movement costs to execute ML workloads on the EdgeTPU.
- Work with EdgeTPU architects to design future accelerators, the hardware/software interface, and co-optimizations of the next generation EdgeTPU architectures.
- Collaborate with ML model developers, researchers, product managers, and EdgeTPU hardware/software teams to accelerate the transition from research ideas to user experiences, including Generative AI, running on the EdgeTPU.
- Improve processes around Software Development Kit (SDK) release, qualification and communication with an emphasis on more automation and monitoring.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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