Engineering Manager, ML Performance

Google LLC; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC in Sunnyvale, CA, is seeking an Engineering Manager to lead the TPU Performance team, driving ML training and inference benchmarks for Google's TPUs. You will guide engineers across multiple sites, set project goals, and contribute to product strategy, while growing your team.

Ideal candidates combine strong software engineering with leadership, ML performance expertise, and hardware-awareness to optimize both software and hardware systems at scale.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience with ML performance analysis, benchmarking, and computer architecture.

Responsibilities

• Lead a team of software engineers focused on identifying and maintaining ML training and serving benchmarks representative of Google production and the ML industry.
• Achieve performance for customer launches and for third-party/OSS models through benchmark submissions.
• Use benchmarks to identify performance opportunities and drive optimizations and future hardware design.
• Participate in algorithmic innovations exploiting new TPU hardware features and model-preserving optimizations.
• Co-design models TPU-friendly to maximize hardware efficiency.

Skills

Software development

ML design

Team leadership

People management

Performance benchmarking

Education

Bachelor's degree

Master's degree or PhD in Engineering/CS

Tools

CUDA

Triton

MLIR/OpenXLA

PyTorch/JAX

Job description

Share Engineering Manager, ML Performance

Google Sunnyvale, CA, USA

In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor's degree or equivalent practical experience.


• 8 years of experience in software development.


• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).


• 3 years of experience in a technical leadership role.


• 2 years of experience in a people management or team leadership role.


• Experience with ML performance analysis, benchmarking, and computer architecture.

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 in ML accelerators (GPUs, TPUs) and low-level kernel programming/tuning using tools like CUDA, Triton, or Pallas.


• Experience with compiler optimization (MLIR, OpenXLA) and integrating frameworks/serving libraries (PyTorch, JAX, vLLM) to maximize hardware efficiency.


• Ability to adapt ML models to specific hardware strengths and use performance benchmarking to guide both optimization and future hardware design.

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.

Google's Core Machine Learning (ML) organization is looking for an Engineering Manager to join our pioneering TPU Performance team! Our team is responsible for maximizing the speed and efficiency of Google's custom AI chips (TPUs) for training and running massive AI/ML models.

While we have a rich 10-year history of optimizing Google's own internal AI models, our team is entering an exciting new phase. As Google expands its focus to become a major hardware provider for the broader tech industry, we are optimization partners for both Google's internal teams and major external AI companies and foundation model builders.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• Lead a team of software engineers focused on identifying and maintaining ML training and serving benchmarks that are representative to Google production and the broader ML industry.


• Achieve performance for customer launches, and in case of third-party/open-source software (OSS) models, for engaged benchmark submissions (ML Commons, InferenceX, etc.).


• Use benchmarks to identify performance opportunities and drive both near-term SOTA (e.g., custom kernels) and out-of the box performance (compiler/runtime optimizations, agentic tooling, auto-sharding) directly and in collaboration with partner teams.


• Participate in algorithmic innovations exploiting new TPU hardware features and model-preserving optimizations (speculative decoding, sparsity, quantization, LoRA, etc.).


• Participate in co-designing models that are TPU-friendly to showcase model quality at performance advanced to OSS models typically designed on GPUs.

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. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.