Senior ML Systems Engineer — Scale PyTorch on Cloud TPUs

Google LLC; United Kingdom; On-site; GBP 120,000 - 180,000; Full time

Job summary

Google LLC is seeking software engineers for Google Cloud who will develop next-generation AI frameworks and compilers. You will work on core ML infrastructure, enabling PyTorch models to run efficiently on TPUs/GPUs at scale and collaborate with researchers across the industry.

You will contribute to open-source software, work across teams, and help shape cloud ML offerings for training and inference at massive scale.

Qualifications

• Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (C++, C, or Python).
• Experience in leading cross-functional software oriented projects from inception to delivery.

Responsibilities

• Work on AI framework development to enable PyTorch models on TPUs/GPUs and tune for peak performance.
• Provide comprehensive support for ML frameworks and compilers on Cloud TPUs and GPUs for training/deployment.
• Enable PyTorch models at massive scale for generative models and vision tasks.
• Collaborate with Google teams and researchers to bring ML capabilities to PyTorch-in-Cloud offering.
• Contribute to open-source software development.

Skills

C++

C

Python

Project leadership

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

JAX

PyTorch

Compiler construction

Job description

Google LLC is seeking software engineers for Google Cloud who will develop next-generation AI frameworks and compilers. You will work on core ML infrastructure, enabling PyTorch models to run efficiently on TPUs/GPUs at scale and collaborate with researchers across the industry.

You will contribute to open-source software, work across teams, and help shape cloud ML offerings for training and inference at massive scale.