Lead ML Performance Engineering Manager

Google; Kirkland (WA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid Time Off: 20 days per year

Sick time: 40 hours/year (69 inSeattle

Maternity leave 28-30 weeks

Baby Bonding Leave 18 weeks

Holidays 13 days

Job summary

Google in Kirkland, WA is seeking an Engineering Manager for the Core ML/TPU Performance group. You will lead engineers across teams to optimize ML training and inference on TPU hardware, aligning software and hardware strategies with product goals and external collaborations.

The role emphasizes technical leadership, project budgeting, and multi-site coordination to deliver high-performance AI capabilities at scale. Applicants should have deep ML systems experience and people management skills.

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

People management

ML performance analysis

Education

Bachelor’s degree or equivalent practical experience

Tools

CUDA

Triton

Pallas

MLIR/OpenXLA

PyTorch/JAX/vLLM

Job description

Google in Kirkland, WA is seeking an Engineering Manager for the Core ML/TPU Performance group. You will lead engineers across teams to optimize ML training and inference on TPU hardware, aligning software and hardware strategies with product goals and external collaborations.

The role emphasizes technical leadership, project budgeting, and multi-site coordination to deliver high-performance AI capabilities at scale. Applicants should have deep ML systems experience and people management skills.