ML Performance Engineering Manager

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

Job summary

Google Sunnyvale is seeking an Engineering Manager for the Core Machine Learning group to optimize ML training and inference on TPUs. You will lead engineers across multiple teams, guiding projects from concept to production, ensuring hardware-aware software performance.

Responsibilities include driving benchmarks, collaborating with cross-functional partners, and shaping TPU-friendly models that scale for Google Cloud and internal workloads.

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

Bachelor’s degree or equivalent pr

8+ years software development

5 years ML design leadership

3 years technical leadership

2 years people management

ML performance analysis

Education

Master’s degree or PhD in Engineering/CS

Tools

CUDA

Triton

Pallas

MLIR

OpenXLA

PyTorch

JAX

vLLM

Job description

Google Sunnyvale is seeking an Engineering Manager for the Core Machine Learning group to optimize ML training and inference on TPUs. You will lead engineers across multiple teams, guiding projects from concept to production, ensuring hardware-aware software performance.

Responsibilities include driving benchmarks, collaborating with cross-functional partners, and shaping TPU-friendly models that scale for Google Cloud and internal workloads.