Engineering Manager: ML Performance & TPU Optimizations

Socket.dev; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking an Engineering Manager to lead the TPU Performance team, guiding software engineers across training and serving benchmarks representative of production workloads. You will drive performance for launches and OSS benchmark submissions, collaborating with partner teams on kernel-level optimizations and compiler/runtime improvements.

The role emphasizes leadership across multiple teams, design of TPU-friendly models, and exploring optimizations that push the boundaries of hardware

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 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.

Skills

Software development

ML design leadership

ML performance analysis

Benchmarking

Team leadership

People management

Computer architecture

Education

Bachelor’s degree or equivalent practical experience

Job description

Google is seeking an Engineering Manager to lead the TPU Performance team, guiding software engineers across training and serving benchmarks representative of production workloads. You will drive performance for launches and OSS benchmark submissions, collaborating with partner teams on kernel-level optimizations and compiler/runtime improvements.

The role emphasizes leadership across multiple teams, design of TPU-friendly models, and exploring optimizations that push the boundaries of hardware