Engineering Manager, ML Performance

info_outline XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA. Minimum 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. 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 cus…