Machine Learning Compiler Engineering Manager, GPU
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum Qualifications:
* Bachelor’s degree or equivalent practical experience.
* 8 years of experience in software development in C or C++.
* 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
* Experience in compiler construction or related fields.
Preferred Qualifications:
* Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
* 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
* Experience working on or leading a team to work on a compiler stack (e.g., Low Level Virtual Machines (LLVM)).
* Experience with ML frameworks, such as JAX/PyTorch/MLIR/TensorFlow etc.
* Experience working on HPC/GPU workloads.
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, and user interface design.
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.
The Core ML Foundations Compiler team builds Accelerated Linear Algebra (XLA), the compiler technology that powers machine learning frameworks at Google, which includes JAX, PyTorch/XLA, and TensorFlow.
The compiler makes competitive performance possible on cutting-edge ML workloads like Gemini, LLaMa, Veo, and next-generation Large-Language Models (LLMs).
In this role, you will contribute to and use JAX, PyTorch/XLA, and TensorFlow infrastructure and own the CPU and Graphics Processing Unit (GPU) production ML compilers.
Responsibilities
* Lead and manage a team of Software Engineers to accelerate machine learning applications, like Large Language Models and Generative AI, to run at the fullest potential on GPUs.
* Enhance the GPU compiler software stack so that it performs faster and more efficiently on cutting-edge ML workloads.
* Launch new GPU optimizations end-to-end, including performance and correctness testing.
* Foster deep collaboration between customers, partners (e.g., GPU manufacturers, researchers, and others), and the GPU compiler team.
* Support and develop members of the team. Meet regularly with individuals to discuss performance and development and provide feedback and coaching while also growing the overall compiler team in Munich.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
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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